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Journal articles on the topic 'Heuristic analyzer'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Hrihorenko, I., S. Hrihorenko, and E. Bezborodyi. "Use of the Fuzzy-Logic for Control of Accuracy and Increase of Production Quality." Metrology and instruments, no. 3 (March 7, 2018): 52–57. http://dx.doi.org/10.33955/2307-2180(3)2018.52-57.

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The paper deals with the solution of the scientific and practical task of controlling the accuracy of the parameters of the process of making kefir and improving its quality by creating a heuristic analyzer based on the user interface of the fuzzy logic system. The factors influencing the accuracy of the operation of the digital meter are analyzed, the possibility of using the fuzzy logic apparatus has been proved to determine the parameters of the technological process that ensure the maximum quality of the product. Computer simulation was carried out, which confirmed that the creation

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CORBETT, DAN. "HYBRID HEURISTIC SEMANTIC NETWORKS IN NATURAL LANGUAGE UNDERSTANDING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 03, no. 04 (1995): 389–400. http://dx.doi.org/10.1142/s0218488595000190.

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It has never been demonstrated that a pure semantic analysts of an English sentence can be accomplished without any aid from a syntactic analyzer. It has therefore become interesting to demonstrate semantic systems which can be guided by fast and efficient syntactic methods. We show that non-probabilistic, abductive techniques can be used in a hybrid network to correctly interpret the meaning of an English sentence. We discuss the implementation of an abductive system which uses heuristics working together with a semantic network in an attempt to eliminate uncertainty and ambiguity in natural

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Salunke, Anushree B., Eisha Saini, Sanskruti Shinde, Pooja Tumma, and Suchita Suresh Dange. "NewsIN: A News Summarizer and Analyzer." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 695–706. http://dx.doi.org/10.22214/ijraset.2022.47997.

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Abstract: A summary condenses a lengthy document by highlighting salient features. It helps the reader to understand completely just by reading a summary so that the reader can save time and also can decide whether to go through the entire document. Summaries should be shorter than the original article so make sure to select only pertinent information to include the article. The main goal of a newspaper article summary is, the readers to walk away with knowledge on what the newspaper article is all about without the need to read the entire article. This work proposes a news article summarizati

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Arumuga Maria Devi, T., and P. Darwin. "Performance Metrics on Hyperspectral Images in Fuzzy Contextual Convolutional Neural Network for Food Quality Analyzer." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no. 03 (2022): 337–56. http://dx.doi.org/10.1142/s0218488522400104.

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The quality of food and the safety of consumer is one of the major essential things in our day-to-day life. To ensure the quality of foods through their various attributes, different types of methods have been introduced. In this proposed method, three underlying blocks namely Hyperspectral Food Image Context Extractor (HFICE), Hyperspectral Context Fuzzy Classifier (HCFC) and Convolutional Neural Network (CNN) for Food Quality Analyzer (CFQA). Hyperspectral Food Image Context Extractor module is used as the preprocess to get food attributes such as texture, color, size, shape and molecular pa

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Arumuga Maria Devi, T., and P. Darwin. "Performance Metrics on Hyperspectral Images in Fuzzy Contextual Convolutional Neural Network for Food Quality Analyzer." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, no. 04 (2023): 691–710. http://dx.doi.org/10.1142/s0218488523500320.

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The quality of food and the safety of consumer is one of the major essential things in our day-to-day life. To ensure the quality of foods through their various attributes, different types of methods have been introduced. In this proposed method, three underlying blocks namely Hyperspectral Food Image Context Extractor (HFICE), Hyperspectral Context Fuzzy Classifier (HCFC) and CNN for Food Quality Analyzer (CFQA). Hyperspectral Food Image Context Extractor module is used as the preprocess to get food attributes such as texture, color, size, shape and molecular particulars. Hyperspectral Contex

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Deliismail, Ozgun, Basak Tuncer, and Alperen Guler. "Imcube: A static particle size analyzer for all shape types via advanced vision tools and integrated machinery." European Journal of Research and Development 3, no. 4 (2023): 414–23. http://dx.doi.org/10.56038/ejrnd.v3i4.340.

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An integrated machinery to perform the analysis of particle size distribution through image processing formulations is presented. The product is comprehensive and flexible to many different industrial needs with a tailored hardware integration and design, which employs a set of sophisticated algorithms for the computational efficiency and accuracy. Compared to the traditional methods, the architecture is superior and provides significant impact as irregular and noncircular particles from a wide dimension spectrum can be analysed instantly, eliminating the need for significant manual effort wit

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Chang, Jin Hee. "A Study on the Use of Anti-Corruption Policy in Behavioral Economics: Focusing on the integrity effort evaluation." Korea Association for Corruption Studies 28, no. 4 (2023): 5–30. http://dx.doi.org/10.52663/kcsr.2023.28.4.5.

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This study is a cursory study to introduce the perspective of behavioral economics in anti-corruption policy studies. The purpose of this study is to analyze the evaluation of anti-corruption policies using the heuristics of behavioral economics as an analysis tool. Since AIA is Korea's representative anti-corruption policy that evaluates anti-corruption efforts of 629 institutions, it is necessary to analyze the process and contents that have been reorganized for 20 years since 2002. This study analyzed the evaluation system such as AIA's promotion system, analyzed major heuristics and

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Dharmalingam, Jeya Mala, and M. Eswaran. "An Agent Based Intelligent Dynamic Vulnerability Analysis Framework for Critical SQLIA Attacks." International Journal of Intelligent Information Technologies 14, no. 3 (2018): 56–82. http://dx.doi.org/10.4018/ijiit.2018070104.

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This article describes how software vulnerability analysis and testing for web applications should detect not only the common attacks but also dynamic vulnerability attacks. These are the attacks such as structured query language injection attacks (SQLIAs) which will extract the most crucial user information from the targeted database. In this proposed approach, an intelligent agent namely intelligent vulnerability analyzer agent (IVA) is proposed in which the external attacks due to dynamic user inputs are identified using a heuristic-guided intelligent graph searching and then a pre and post

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Diamond, L. W., G. Priolet, C. Sultan, and D. T. Nguyen. "Expert System Design in Hematology Diagnosis." Methods of Information in Medicine 31, no. 02 (1992): 82–89. http://dx.doi.org/10.1055/s-0038-1634864.

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Abstract:A two-part study was designed to test the hypothesis that sufficient information is available from a modern hematology analyzer (the Coulter STKS) to reach a reliable intermediate conclusion which can be used as input to the next decision-making level in the design of a high-performance expert system for hematology diagnosis. In phase one, we analyzed the performance of three probabilistic systems (using Bayes’ rule) which interpret STKS data: a control system which took the traditional approach of classifying cases into specific diagnoses, and two test systems which were designed to

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Santos, André S., Ana M. Madureira, and Leonilde R. Varela. "A Self-Parametrization Framework for Meta-Heuristics." Mathematics 10, no. 3 (2022): 475. http://dx.doi.org/10.3390/math10030475.

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Even while the scientific community has shown great interest in the analysis of meta-heuristics, the analysis of their parameterization has received little attention. It is the parameterization that will adapt a meta-heuristic to a problem, but it is still performed, mostly, empirically. There are multiple parameterization techniques; however, they are time-consuming, requiring considerable computational effort and they do not take advantage of the meta-heuristics that they parameterize. In order to approach the parameterization of meta-heuristics, in this paper, a self-parameterization framew

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Messa, Frederico, and André Grahl Pereira. "A Best-First Search Algorithm for FOND Planning and Heuristic Functions to Optimize Decompressed Solution Size." Proceedings of the International Conference on Automated Planning and Scheduling 33, no. 1 (2023): 277–85. http://dx.doi.org/10.1609/icaps.v33i1.27205.

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In this work, we study fully-observable non-deterministic (FOND) planning, which models uncertainty through actions with non-deterministic effects. We present a best-first heuristic search algorithm called AND* that searches the policy-space of the FOND task to find a solution policy. We generalize the concepts of optimality, admissibility, and goal-awareness for FOND. Using these new concepts, we formalize the concept of heuristic functions that can guide a policy-space search. We analyze different aspects of the general structure of FOND solutions to introduce and characterize a set of FOND

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Štolba, Michal, and Antonín Komenda. "Relaxation Heuristics for Multiagent Planning." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 11, 2014): 298–306. http://dx.doi.org/10.1609/icaps.v24i1.13642.

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Similarly to classical planning, in MA-Strips multiagent planning, heuristics significantly improve efficiency of search-based planners. Heuristics based on solving a relaxation of the original planning problem are intensively studied and well understood. In particular, frequently used is the delete relaxation, where all delete effects of actions are omitted. In this paper, we present a unified view on distribution of delete relaxation heuristics for multiagent planning. Until recently, the most common approach to adaptation of heuristics for multiagent planning was to compute the heuristic es

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Mathur, Harshita. "Heuristics at Play: Can Financial Literacy Lead to Smarter Investment Decisions?" INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50668.

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Abstract – The present study attempts to investigate the impact of heuristics bias on investment decision making via the mediating role of financial literacy. The study is based on the behavioral finance theory and conducted through the structural equation modeling (SEM) approach to analyze the relationships that exist between heuristic bias, financial literacy, and investment decisions. The results of the study reveal a noteworthy positive impact of heuristic approaches on investment decisions, as well as the role of financial literacy in shaping those decisions. Moreover, there exists a nota

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Erkol, Şirag, and Gönenç Yücel. "Influence maximization based on partial network structure information: A comparative analysis on seed selection heuristics." International Journal of Modern Physics C 28, no. 10 (2017): 1750122. http://dx.doi.org/10.1142/s0129183117501224.

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In this study, the problem of seed selection is investigated. This problem is mainly treated as an optimization problem, which is proved to be NP-hard. There are several heuristic approaches in the literature which mostly use algorithmic heuristics. These approaches mainly focus on the trade-off between computational complexity and accuracy. Although the accuracy of algorithmic heuristics are high, they also have high computational complexity. Furthermore, in the literature, it is generally assumed that complete information on the structure and features of a network is available, which is not

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Rott, Benjamin. "Rethinking heuristics – characterizations and vignettes." Lumat: International Journal of Math, Science and Technology Education 3, no. 1 (2015): 122–26. http://dx.doi.org/10.31129/lumat.v3i1.1055.

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The concept of “heuristics” or “heuristic strategies” is central to (mathematical) problem solving and related research; however, there is no generally accepted definition of this term. Trying to clarify the concept might help avoiding misunderstandings and difficulties in dealing with studies that use different terms meaning the same concepts or that use the same terms meaning different concepts. Therefore, the research presented in this paper aims at a clarification of the term “heuristics” and suggestions for the use of it in future research. Building on previous work from last year’s ProMa

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Jardón, Edgar, Marcelo Romero, and José-Raymundo Marcial-Romero. "Application of Optimization Algorithms in Voter Service Module Allocation." Information 16, no. 6 (2025): 506. https://doi.org/10.3390/info16060506.

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Allocation models are essential tools for optimally distributing client requests across multiple services under defined restrictions and objective functions. This study evaluates several heuristics to address an allocation problem involving young individuals reaching voting age. A five-step methodology was implemented: defining variables, executing heuristics, compiling results, evaluating outcomes, and selecting the most effective heuristic. Using experimental data from the Mexican National Electoral Institute (INE), the study focuses on 88,107 individuals aged 17–18 in the 16 municipalities

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Gárate-Escamilla, Anna Karen, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín, and José Carlos Ortiz-Bayliss. "Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature." Applied Sciences 12, no. 20 (2022): 10576. http://dx.doi.org/10.3390/app122010576.

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Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has increased the daily amount of text in the related literature. This information is primarily unstructured, mainly text that traditional computer data systems cannot process. Traditional systematic literature review studies exhibit multiple limitations, including high time consumption, lack of replicability, and subjectivity of the results. For this reas

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Lv, Yihan. "Research on Path Planning of Mobile Robots Based on A*and B* Algorithms." Highlights in Science, Engineering and Technology 120 (December 25, 2024): 392–97. https://doi.org/10.54097/d2q14p91.

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Efficient path planning is of great significance for mobile robots used in various applications such as logistics, healthcare, and autonomous navigation. However, traditional path planning algorithms such as A* often face limitations in computational efficiency and heuristic selection, which hinder their effectiveness in complex scenarios. This study addresses these challenges by implementing the A* and B* algorithms, comparing their performance across various heuristics: Euclidean distance, Manhattan distance, Chebyshev distance, and Octile distance. Therefore, a series of experiments are per

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Morales, Eberto Pablo Gutiérrez, Jorge Manuel Ríos Obregón, Myriam Mercedes Tipan Riofrio, José Enrique Martínez Serra, Arelys García Chávez, and Gretter Martínez Pérez. "Heuristic Processes and the Development of Metacognition in Mathematics Teaching and Learning." Revista de Gestão Social e Ambiental 19, no. 2 (2025): e011135. https://doi.org/10.24857/rgsa.v19n2-003.

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Objectives: This study aims to explore the conceptual and procedural elements of using heuristics in the teaching of Experimental Sciences and their impact on strengthening students' cognitive and metacognitive competencies. Heuristic strategies such as analogy, working backward, and problem segmentation are analyzed to determine their role in metacognitive development. Theoretical Framework: The theoretical framework emphasizes heuristics as a set of methods and strategies that foster discovery and problem-solving. These tools are essential for promoting active and reflective learning, as wel

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Kasoga, Pendo Shukrani. "Heuristic biases and investment decisions: multiple mediation mechanisms of risk tolerance and financial literacy—a survey at the Tanzania stock market." Journal of Money and Business 1, no. 2 (2021): 102–16. http://dx.doi.org/10.1108/jmb-10-2021-0037.

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PurposeThe purpose of this research is to examine the effect of heuristic biases on investment decisions through multiple mediation mechanisms of risk tolerance and financial literacy in the Tanzanian stock market.Design/methodology/approachA sample of 316 individual investors in the Tanzanian stock market was obtained through questionnaires. The data were analyzed using structural equation modeling (SEM).FindingsThe findings show that financial literacy mediates insignificantly the effects of overconfidence, availability, anchoring and representativeness heuristics on investment decisions. Fu

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Lee, Hee-Min. "A study on attitude and usage intention of YouTube food content using heuristic theory." Foodservice Management Society of Korea 28, no. 1 (2025): 223–42. https://doi.org/10.47584/2025.28.1.223.

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Objective: This study applies the heuristic theory to analyze the influence of intuitive judgment and attitude of users on YouTube food content on their intention to use the content and provide academic and practical implications. Methods: This study conducted a survey targeting users who have watched YouTube food-related videos and created a menu or visited a related restaurant in the past 3 months. The online survey was conducted for 10 days from November 1, 2024. This study analyzed a total of 300 questionnaires and used SPSS 24.0 and AMOS 22.0 for frequency analysis, confirmatory factor an

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Vilar Jacob, Vinícius, and José Elias C. Arroyo. "ILS Heuristics for the Single-Machine Scheduling Problem with Sequence-Dependent Family Setup Times to Minimize Total Tardiness." Journal of Applied Mathematics 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/9598041.

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This paper addresses a single-machine scheduling problem with sequence-dependent family setup times. In this problem the jobs are classified into families according to their similarity characteristics. Setup times are required on each occasion when the machine switches from processing jobs in one family to jobs in another family. The performance measure to be minimized is the total tardiness with respect to the given due dates of the jobs. The problem is classified asNP-hard in the ordinary sense. Since the computational complexity associated with the mathematical formulation of the problem ma

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Liubarets, Vladyslava, and Alina Lyubyma. "Heuristic Teaching Methods Of Professional Junior Bachelors In Software Engineering." International Science Journal of Education & Linguistics 1, no. 2 (2022): 1–6. http://dx.doi.org/10.46299/j.isjel.20220102.1.

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The article theoretically substantiates the methods of heuristic training of professional bachelors in software engineering. The historical aspect of the origin of heuristics is realized. Scientific and methodological literature on this issue is analyzed. The main definitions of the heuristic learning theory are revealed. The meaning of the concepts: “heuristics”, “heuristic learning” is specified. The main methods and techniques of professional junior bachelors’ readiness formation of in software engineering for heuristic activity in the process of professional training are indicated. The app

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Mohammad, Abdulghafour, and Line Pedersen. "Analyzing the Use of Heuristics in a Virtual Reality Learning Context: A Literature Review." Informatics 9, no. 3 (2022): 51. http://dx.doi.org/10.3390/informatics9030051.

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With concepts such as immersion and presence, known as hedonistic qualities of importance in the virtual reality (VR) experience, the question arises whether the more pragmatic heuristics are effective in the evaluation of an artifact. However, despite the importance of the heuristics for artifact evaluations, the available studies do not provide a rigorous review of these heuristics and their efficiency. Thus, this review aims to look at how heuristics have been applied in various virtual learning environments (VLEs) that involve virtual reality learning activities, either for use in heuristi

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Mulyadi, Rangga Dhimas Radithya, Hidya Indira Lastari, and Harmon Chaniago. "The Influence of Heuristics on Investment Decision Making in Cryptocurrency Assets (A Study of Retail Investors in the Bandung Raya Area)." RISK : Jurnal Riset Bisnis dan Ekonomi 6, no. 1 (2025): 108–24. https://doi.org/10.30737/risk.v6i1.6904.

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The development of cryptocurrency in Indonesia has shown rapid growth in recent years. Along with this trend, investor behavior is often influenced by cognitive shortcuts known as heuristics. This study aims to examine the influence of heuristic biases including representativeness, overconfidence, anchoring, availability bias, and the gambler’s fallacy on retail investment decisions in the Bandung Raya area. Using a quantitative approach with a survey method, data were collected from 139 respondents and analyzed using statistical techniques, including correlation tests and simple linear regres

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Vaidya, Rashesh, Bikram Chitrakar, and Sanjeev Ghiremire. "Affect Heuristic and Influence of ‘Name’ in Investment Decisions of Nepalese Investors." Journal of Economics and Management 4, no. 1 (2024): 115–26. https://doi.org/10.3126/jem.v4i1.72896.

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The study aims to investigate the presence of affect heuristics in investment decisions and analyze the influence of company and financial tool names in investment decisions. The framework of the Affect Heuristic Model was adapted to measure perceived risk and perceived benefit. Besides the impact of fluency, association and familiar names were tested to discover the level of perceived risk and perceived benefit during the investment decision. The research was conducted among 150 investors who invest in the Nepal Stock Exchange through an online form. The study indicates that Nepalese investor

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Bulitko, Vadim, Shuwei Wang, Justin Stevens, and Levi H. S. Lelis. "Portability and Explainability of Synthesized Formula-based Heuristics." Proceedings of the International Symposium on Combinatorial Search 15, no. 1 (2022): 29–37. http://dx.doi.org/10.1609/socs.v15i1.21749.

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Heuristic search is a key component of automated planning and pathfinding. It is guided by a heuristic function which estimates remaining solution cost. Traditionally heuristic functions for pathfinding have been human-designed or pre-computed for a specific search graph. The former tend to be compact, human-readable but generic. The latter offer better guidance but require per-graph pre-computation and have a substantial memory cost. We aim to retain compactness and readability of human-designed heuristics and increase their performance. We adopt the recently published approach of representin

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PETIT, JORDI. "COMBINING SPECTRAL SEQUENCING AND PARALLEL SIMULATED ANNEALING FOR THE MINLA PROBLEM." Parallel Processing Letters 13, no. 01 (2003): 77–91. http://dx.doi.org/10.1142/s0129626403001161.

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In this paper we present and analyze new sequential and parallel heuristics to approximate the Minimum Linear Arrangement problem (MinLA). The heuristics consist in obtaining a first global solution using Spectral Sequencing and improving it locally through Simulated Annealing. In order to accelerate the annealing process, we present a special neighborhood distribution that tends to favor moves with high probability to be accepted. We show how to make use of this neighborhood to parallelize the Metropolis stage on distributed memory machines by mapping partitions of the input graph to processo

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Davis-Stober, Clintin P., Jason Dana, and David V. Budescu. "Why recognition is rational: Optimality results on single-variable decision rules." Judgment and Decision Making 5, no. 4 (2010): 216–29. http://dx.doi.org/10.1017/s1930297500003478.

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AbstractThe Recognition Heuristic (Gigerenzer & Goldstein, 1996; Goldstein & Gigerenzer, 2002) makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on d

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Lam, William, Kalev Kask, Javier Larrosa, and Rina Dechter. "Residual-Guided Look-Ahead in AND/OR Search for Graphical Models." Journal of Artificial Intelligence Research 60 (October 20, 2017): 287–346. http://dx.doi.org/10.1613/jair.5475.

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We introduce the concept of local bucket error for the mini-bucket heuristics and show how it can be used to improve the power of AND/OR search for combinatorial optimization tasks in graphical models (e.g. MAP/MPE or weighted CSPs). The local bucket error illuminates how the heuristic errors are distributed in the search space, guided by the mini-bucket heuristic. We present and analyze methods for compiling the local bucket-errors (exactly and approximately) and show that they can be used to yield an effective tool for balancing look-ahead overhead during search. This can be especially instr

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Macias, Teodoro, Laura Cruz-Reyes, Bernabé Dorronsoro, and Claudia Gómez-Santillán. "Analysis of Multi-objective Hyper-Heuristics Under Different Dynamic and Preferential Environments." International Journal of Combinatorial Optimization Problems and Informatics 13, no. 2 (2022): 1–13. https://doi.org/10.61467/2007.1558.2022.v13i2.264.

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The use of hyper-heuristics to solve dynamic multi-objective optimization problems (DMOPs) that incorporate decision-maker's preferences is a recently addressed research area. This paper proposes the analysis and comparison of three hyper-heuristics to solve preferential DMOPs. The Dynamic Hyper-Heuristic with Plane Separation (DHH-PS), a previously proposed methodology using Plane Separation (PS), a reference-point-based preference incorporation method. This paper also proposes two versions of the Dynamic Population-Evolvability based Multi-objective Hyper-Heuristic (DPEM-HH), incorporating P

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Falzon, Geoffrey, and Maozhen Li. "Evaluating Heuristics for Scheduling Dependent Jobs in Grid Computing Environments." International Journal of Grid and High Performance Computing 2, no. 4 (2010): 65–80. http://dx.doi.org/10.4018/jghpc.2010100106.

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Job scheduling plays a critical role in the utilisation of grid resources by mapping a number of jobs to grid resources. However, the heterogeneity of grid resources adds some challenges to the work of job scheduling, especially when jobs have dependencies which can be represented as Direct Acyclic Graphs (DAGs). It is widely recognised that scheduling m jobs to n resources with an objective to achieve a minimum makespan has shown to be NP-complete, requiring the development of heuristics. Although a number of heuristics are available for job scheduling optimisation, selecting the best heurist

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Kaur, Jasmeet, Ishani Chatterjee, and Maxim Likhachev. "Speeding Up Search-Based Motion Planning using Expansion Delay Heuristics." Proceedings of the International Conference on Automated Planning and Scheduling 31 (May 17, 2021): 528–32. http://dx.doi.org/10.1609/icaps.v31i1.16000.

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Suboptimal search algorithms are a popular way to find solutions to planning problems faster by trading off solution optimality for search time. This is often achieved with the help of inadmissible heuristics. Prior work has explored ways to learn such inadmissible heuristics. However, it has focused on learning the heuristic value as an estimate of the cost to reach a goal. In this paper, we present a different approach that computes inadmissible heuristics by learning Expansion Delay for transitions in the state space. Expansion Delay is defined as the number of states expanded during the se

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Cao, Qianning. "The Availability Heuristic." Communications in Humanities Research 27, no. 1 (2024): 271–74. http://dx.doi.org/10.54254/2753-7064/27/20231715.

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Few fields of psychology have undergone such dramatic conceptual changes over the past dozen years as the emerging science of heuristics. Heuristics are effective cognitive processes that consciously or unconsciously ignore part of information. Good heuristics can greatly reduce the time it takes to solve a problem by avoiding some unlikely possibilities, and although heuristic processes tend to find solutions or outcomes that are often valid or correct, they may only be correct, provable, optimal, or accurate sometimes. However, decision making based on heuristics is often sufficient to solve

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Erwanto, Erwanto, Emilia Contessa, and Aryanti Agustina. "Analisis Makna Nyanyian Tradisi Diadi Dialek Daya Desa Gedung Wani Kabupaten Ogan Komering Ulu Selatan." Stilistika: Jurnal Pendidikan Bahasa dan Sastra 15, no. 2 (2022): 165. http://dx.doi.org/10.30651/st.v15i2.12763.

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Meaning Analysis of Diadi Daya Gedung Wani Village South Ogan Komering Ulu District Dialect Song TraditionABSTRAKDiadi merupakan salah satu warisan budaya lokal yang berasal dari desa Gedung Wani OKU Selatan. Diadi merupakan ritme musik dengan senar gitar tunggal yang berkembang di daerah Ogan Komering Ulu Selatan Desa Gedung Wani Kecamatan Runjung Agung. Lirik dari Diadi ini berupa pantun dengan kata lainnya disebut canggut yang dinyanyikan sedemikian rupa dengan irama gitar tunggal. Pelaksanaan Diadi ini biasanya diadakan pada saat pesta pernikahan Ningkuk’an (bahasa daerah setempat) dan aca

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Yundt, P. E., B. W. Baetz, and G. G. Patry. "Heuristic and simulation techniques for the scheduling of hazardous waste processing in an integrated treatment facility." Canadian Journal of Civil Engineering 21, no. 5 (1994): 752–61. http://dx.doi.org/10.1139/l94-081.

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The basic strategies for optimizing processing schedules of hazardous waste in an integrated hazardous waste treatment facility are analyzed. Five schedule optimization heuristics were evaluated on six simulation models of hypothetical integrated hazardous waste treatment facilities. The six models represented combinations of one of three unit process configurations and one of two facility operating policies. The heuristics were evaluated with respect to their ability to minimize the average completion time (makespan) of a specified set of jobs. The same five heuristics were applied to a model

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Jaszcz, Antoni, Dawid Połap, and Robertas Damaševičius. "Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm." Scientific Programming 2022 (July 31, 2022): 1–8. http://dx.doi.org/10.1155/2022/4494139.

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Medical image segmentation identifies an area that should be analyzed later in the processing process, such as for disease recognition and classification. As the image search area is reduced, this action allows for faster computation and analysis. We propose the use of a heuristic red fox heuristic optimization algorithm (RFOA) for medical image segmentation in this paper. The heuristics’ operation was adapted to the analysis of two-dimensional images, with a focus on equation modification and the novel fitness function. The proposed solution analyzes the image by converting the selected pixel

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Yuliza, Evi, Fitri Maya, and Siti Suzlin Supadi. "Heuristic Approach For Robust Counterpart Open Capacitated Vehicle Routing Problem With Time Windows." Science and Technology Indonesia 6, no. 2 (2021): 53–57. http://dx.doi.org/10.26554/sti.2021.6.2.53-57.

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Garbage is one of the environmental problems. The process of transporting garbage sometimes occurs delays such as congestion and engine failure. Robust optimization model called a robust counterpart open capacitated vehicle routing problem (RCOCVRP) with time windows was formulated to get over this delays. This model has formulated with the limitation of vehicle capacity and time windows with an uncertainty of waste volume and travel time. The RCOCVRP model with time windows is solved by a heuristic approach. The heuristic approach used to solve the RCOCVRP model with time windows uses the nea

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Dahiya, Brahm Prakash, Shaveta Rani, and Paramjeet Singh. "A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space." International Journal of Mathematical, Engineering and Management Sciences 4, no. 2 (2019): 471–88. http://dx.doi.org/10.33889/ijmems.2019.4.2-039.

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Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based algorithms respectively. Swarm based meta-heuristic algorithms are given more effective result in optimization problem issues and these are generated global optimal solution. Existing swarm intelligence techniques are suffered with poor exploitation and exploration in given search space. Therefore, in this paper Hybrid Artificial Grasshopper Optimiza

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S. Shetty, Vikas, Arka Mukherjee, and K. Senthilkumar. "Examining Heuristics for the K-Centers Problem." International Journal of Engineering & Technology 7, no. 3.12 (2018): 915. http://dx.doi.org/10.14419/ijet.v7i3.12.16560.

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In this paper, we discuss and analyze the heuristics existing to solve the K-Center problem. The K-Center problem is used in various practical scenarios such as facility location, load-balancing, ATM mapping, Cloud Server Selection, or even data clustering and image classification. Specifically, we examine a standard Greedy algorithm with an approximation factor of 2, the clustering algorithm introduced by Gonzales in 1985, and the Dominating Set Algorithm(commonly referred to as the elimination heuristic) devised by Jurij Mihelič and Borut Robič. We also propose a new heuristic to solve the s

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Harrington, Linda, Cheryl Parker, Kathleen Ulanday, and Craig Harrington. "Heuristic Evaluation of a Top-Rated Diabetes Self-Management App." Applied Clinical Informatics 12, no. 05 (2021): 1014–20. http://dx.doi.org/10.1055/s-0041-1736628.

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Abstract Objective The purpose of this study was to evaluate the usability of a top-rated diabetes app. Such apps are intended to markedly support the achievement of optimal health and financial outcomes by providing patients with substantive and continual support for self-management of their disease between periodic clinician visits. Poor usability can deter use which is especially concerning in patients with diabetes due to prevalence of the disease and impact of self-management on long-term prognosis. Methods A diabetes app was selected due to the prevalence and seriousness of the disease.

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Henrizi, Philipp, Dario Himmelsbach, and Stefan Hunziker. "Anchoring and adjustment effects on audit judgments: experimental evidence from Switzerland." Journal of Applied Accounting Research 22, no. 4 (2021): 598–621. http://dx.doi.org/10.1108/jaar-01-2020-0011.

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PurposeThe purpose of this study is to illustrate the potentially detrimental effects on audit decision-making of certain judgmental heuristics, which can lead to systematic judgmental biases. This paper provides background on the heuristics and biases approaches to decision-making to increase auditors' awareness of the anchoring and adjustment effects affecting audit judgments adversely.Design/methodology/approachThis study reports the results of an experimental research design analyzing the audit judgment of 85 auditors in Switzerland.FindingsBased on the results of the experiment, the resul

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Kandiy, S. О. "Security analysis of promising key encapsulation mechanisms in the core-SVP model." Radiotekhnika, no. 212 (March 28, 2023): 66–84. http://dx.doi.org/10.30837/rt.2023.1.212.06.

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The study of key encapsulation mechanisms on structured lattices is one of the important directions in modern post-quantum cryptography, as many mechanisms are either already standardized (DSTU 8961:2019 "Skelya") or are promising candidates for standardization (CRYSTALS-Kyber). Estimating the complexity of lattice reduction for cryptographic schemes is an old problem. Asymptotic estimates differ greatly from experimental values, therefore, a number of heuristic methods were developed to solve practical problems. The coreSVP model is a standard means of assessing the security of cryptographic

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Pommerening, Florian, Gabriele Röger, Malte Helmert, Hadrien Cambazard, Louis-Martin Rousseau, and Domenico Salvagnin. "Lagrangian Decomposition for Optimal Cost Partitioning." Proceedings of the International Conference on Automated Planning and Scheduling 29 (May 25, 2021): 338–47. http://dx.doi.org/10.1609/icaps.v29i1.3496.

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Optimal cost partitioning of classical planning heuristics has been shown to lead to excellent heuristic values but is often prohibitively expensive to compute. Lagrangian decomposition and Lagrangian relaxation are classical tools in mathematical programming that apply to optimization problems with a special block structure. We analyze the application of Lagrangian decomposition to cost partitioning in the context of operator-counting heuristics and interpret Lagrangian multipliers as cost functions for the combined heuristics. This allows us to view the computation of an optimal cost partiti

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Santos, Sandra Da Silva, Rodolfo Leandro de Faria Olivo, George André Willrich Sales, and Fabiana Lopes da Silva. "Heuristics and Stock Buying Decision: Evidence from Brazil, Pakistan, and Malaysia Stock Markets." International Journal of Social Science Studies 11, no. 5 (2023): 1. http://dx.doi.org/10.11114/ijsss.v11i5.6157.

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Applying both qualitative and quantitative approaches, we investigate the influence of anchoring and adjustment, representativeness, and availability heuristics on stock buying decisions of individual investors at the Brazilian stock market and their relations with demographic aspects. We also compared the results with investors from Pakistan and Malaysia. To collect the data, a survey was administered. Data were analyzed by description, correlation, and regression analysis. The results show that all three heuristics are likely to affect the Brazilian investor’s stock buying decisions. The eff

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Francescatto, Matheus, Alvaro Neuenfeldt Júnior, and Olinto César Bassi de Araúj. "Packing layout added value in sheet metal laser cutting operations considering raw material reuse." International Journal of Industrial Engineering Computations 16, no. 2 (2025): 335–56. https://doi.org/10.5267/j.ijiec.2025.2.001.

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We approach an open dimension problem, in specific, a two-dimensional strip packing problem variation found in sheet metal laser cutting, where rectangular items must be cut from a metal sheet, aiming to increase the packing layout added value. Therefore, this research objective is to analyze the packing layout added value with raw material reuse and practical constraints found in real-life laser cutting operations. The Best Fit Decreasing Height heuristic was modified to reuse raw material and calculate the packing layout added value, being compared with three construction heuristics using a

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Praditha, Riza. "ESTIMASI ERROR: ANCHORING-ADJUSTMENT DAN REAKSI INVESTOR." SIMAK 18, no. 02 (2020): 172–83. http://dx.doi.org/10.35129/simak.v18i02.117.

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This study aims to test the estimation error of future earnings made by investors and analyze the psychological factors heuristic (anchoring-adjustment) experienced. The subjects in this study were accounting and financial management students at STIE Tri Dharma Nusantara who were proxied as investors. The research design used was within-subject laboratory experiments. The analytical method uses the General Linear Model - Repeated Measurement. The results showed that investors experienced bias in estimating future earnings. Bias is indicated by the magnitude of the error of estimated earnings h

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Keyder, Emil, Joerg Hoffmann, and Patrik Haslum. "Semi-Relaxed Plan Heuristics." Proceedings of the International Conference on Automated Planning and Scheduling 22 (May 14, 2012): 128–36. http://dx.doi.org/10.1609/icaps.v22i1.13496.

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Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning techniques. Here we introduce a principled and flexible technique for augmenting delete-relaxed tasks with a limited amount of delete information, by introducing special fluents that explicitly represent conjunctions of fluents in the original planning task. Differently from previous work in this direction, conditional effects are used to limit the growth of the task to be linear, rather than exponential, in the number of conjunctions that are introduced, making its use for obtaining heuristic

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Mulyadi, Rangga Dhimas Radithya, Hidya Indira Lastari, and Harmon Chaniago. "The Influence of Heuristics on Investment Decision Making in Cryptocurrency Assets (A Study of Retail Investors in the Bandung Raya Area)." RISK : Jurnal Riset Bisnis dan Ekonomi 6, no. 1 (2025): 108–24. https://doi.org/10.30737/risk.v6i1.6360.

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In recent years, the cryptocurrency market in Indonesia has grown rapidly. Along with this trend, investor behavior is frequently influenced by cognitive shortcuts known as heuristics. The purpose of this study is to look at how heuristic biases such as representativeness, overconfidence, anchoring, availability bias, and the gambler's fallacy affect retail investment decisions in the Bandung Raya area. A quantitative approach with a survey method was used to collect data from 139 respondents, which were then analyzed using statistical techniques such as correlation tests and simple linear reg

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VALENTE, JORGE M. S. "BEAM SEARCH HEURISTICS FOR THE SINGLE MACHINE SCHEDULING PROBLEM WITH LINEAR EARLINESS AND QUADRATIC TARDINESS COSTS." Asia-Pacific Journal of Operational Research 26, no. 03 (2009): 319–39. http://dx.doi.org/10.1142/s0217595909002225.

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In this paper, we consider the single machine scheduling problem with linear earliness and quadratic tardiness costs, and no machine idle time. We present heuristic algorithms based on the beam search technique. These algorithms include classic beam search procedures, as well as the filtered and recovering variants. Several dispatching rules are considered as evaluation functions, to analyze the effect of different rules on the effectiveness of the beam search algorithms. The computational results show that using better rules improves the performance of the beam search heuristics. The detailed

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