Relevant bibliographies by topics / Heuristics methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Heuristics methods'

Author: Grafiati
Published: 30 May 2022
Last updated: 25 July 2025

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Journal articles on the topic "Heuristics methods"

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Wilt, Christopher, and Wheeler Ruml. "Effective Heuristics for Suboptimal Best-First Search." Journal of Artificial Intelligence Research 57 (October 31, 2016): 273–306. http://dx.doi.org/10.1613/jair.5036.

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Suboptimal heuristic search algorithms such as weighted A* and greedy best-first search are widely used to solve problems for which guaranteed optimal solutions are too expensive to obtain. These algorithms crucially rely on a heuristic function to guide their search. However, most research on building heuristics addresses optimal solving. In this paper, we illustrate how established wisdom for constructing heuristics for optimal search can fail when considering suboptimal search. We consider the behavior of greedy best-first search in detail and we test several hypotheses for predicting when
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Cichowicz, T., M. Drozdowski, M. Frankiewicz, G. Pawlak, F. Rytwinski, and J. Wasilewski. "Hyper-heuristics for cross-domain search." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 4 (2012): 801–8. http://dx.doi.org/10.2478/v10175-012-0093-7.

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Abstract In this paper we present two hyper-heuristics developed for the Cross-Domain Heuristic Search Challenge. Hyper-heuristics solve hard combinatorial problems by guiding low level heuristics, rather than by manipulating problem solutions directly. Two hyper-heuristics are presented: Five Phase Approach and Genetic Hive. Development paths of the algorithms and testing methods are outlined. Performance of both methods is studied. Useful and interesting experience gained in construction of the hyper-heuristics are presented. Conclusions and recommendations for the future advancement of hype
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Abdul-Razaq, Tariq, Hanan Chachan, and Faez Ali. "Modified Heuristics for Scheduling in Flow Shop to Minimize Makespan." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 2 (October 19, 2021): 1–20. http://dx.doi.org/10.55562/jrucs.v30i2.361.

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The NP-completeness of flow shops scheduling problems has been discussed for many years. Hence many heuristics have been proposed to obtain solutions of good quality with a small computational effort. The CDS (Campbell et al) and NEH (Nawaz, Enscore and Ham) heuristics are efficient among meta-heuristics such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).This paper discusses some methods and suggests new developing to the methods of the scheduling in flow shop to minimize makespan problems. Our main object in this paper, from one side, is to improve efficient heuristics which
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Raikhert, Kostiantyn. "THE PHILOSOPHICAL HEURISTICS OF J. HARTMAN AND YA. HNATIUK." Doxa, no. 2(38) (December 18, 2022): 38–51. http://dx.doi.org/10.18524/2410-2601.2022.2(38).283062.

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The study surveys of philosophical heuristics and centers on the philosophical heuristics of J. Hartman and Ya. Hnatiuk. J. Hartman’s philosophical heuristics studies philosophy in terms of its heuristic nature. J. Hartman implies that the entire philosophy is a set of heuristic projects: from conceptions to methods of philosophy. Even philosophical heuristics is one such project. Philosophical heuristics is a metaphilosophy, the specific distinction of which is to study the heuristic nature of philosophy. Philosophical heuristics of Ya. Hnatiuk is a methodology focused on the creativity of ph
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Ursani, Ziauddin, and Ahsan Ahmad Ursani. "Augmented tour construction heuristics for the travelling salesman problem." International Journal of Industrial Optimization 4, no. 2 (2023): 131–44. http://dx.doi.org/10.12928/ijio.v4i2.7875.

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Tour construction heuristics serve as fundamental techniques in optimizing the routes of a traveling salesman. These heuristics remain significant as foundational methods for generating initial solutions to the Traveling Salesman Problem (TSP), facilitating subsequent applications of tour improvement heuristics. These heuristics effectively comprise the iterative application of city node selection and insertion. However, thus far, no attempts have been made to enhance the basic structure of tour construction heuristics to bring a better initial solution for the advanced heuristics. This study
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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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Shanklin, Roslyn, Philip Kortum, and Claudia Ziegler Acemyan. "Adaptation of Heuristic Evaluations for the Physical Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1135–39. http://dx.doi.org/10.1177/1071181320641272.

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Previous work has investigated the need for domain specific heuristics. Nielsen’s ten heuristics offer a general list of principles, but those principles may not capture usability issues specific to a given interface. Studies have demonstrated methods to establish a domain specific heuristic set, but very little research has been conducted on interfaces in the physical environment, creating a gap in the state-of-the-art. The research described in this paper aims to address this gap by developing an environmental heuristic set; the heuristic set was developed specifically for the Houston light
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Muklason, Ahmad, Shof Rijal Ahlan Robbani, Edwin Riksakomara, and I. Gusti Agung Premananda. "A comparison of meta-heuristic and hyper-heuristic algorithms in solving an urban transit routing problems." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2923. http://dx.doi.org/10.11591/ijai.v13.i3.pp2923-2933.

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<p class="p1">Public transport is a serious problem that is difficult to solve in many countries. Public transport routing optimization problem also known as urban transit routing problem (UTRP) is time-consuming process, therefore effective approches are urgently needed. UTRP aims to minimize cost passenger and operator from a combination of route set. UTRP can be optimize with heuristics, meta-heuristics, and hyper-heuristics methods. In several previous studies, UTRP can be optimized with any meta-heuristics and hyper-heuristics methods. In this study we compare the performance of meta
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Ahmad, Muklason, Rijal Ahlan Robbani Shof, Riksakomara Edwin, and Gusti Agung Premananda I. "A comparison of meta-heuristic and hyper-heuristicalgorithms in solving an urban transit routing problems." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2923–33. https://doi.org/10.11591/ijai.v13.i3.pp2923-2933.

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Public transport is a serious problem that is difficult to solve in many countries. Public transport routing optimization problem also known as urban transit routing problem (UTRP) is time-consuming process, therefore effective approches are urgently needed. UTRP aims to minimize cost passenger and operator from a combination of route set. UTRP can be optimize with heuristics, meta-heuristics, and hyper-heuristics methods. In several previous studies, UTRP can be optimized with any meta-heuristics and hyper-heuristics methods. In this study we compare the performance of meta-heuristic methods,
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Triki, C. "Solution Methods for the Periodic Petrol Station Replenishment Problem." Journal of Engineering Research [TJER] 10, no. 2 (2013): 69. http://dx.doi.org/10.24200/tjer.vol10iss2pp69-77.

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In this paper we introduce the Periodic Petrol Station Replenishment Problem (PPSRP) over a T-day planning horizon and describe four heuristic methods for its solution. Even though all the proposed heuristics belong to the common partitioning-then-routing paradigm, they differ in assigning the stations to each day of the horizon. The resulting daily routing problems are then solved exactly until achieving optimalization. Moreover, an improvement procedure is also developed with the aim of ensuring a better quality solution. Our heuristics are tested and compared in two real-life cases, and our
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Dissertations / Theses on the topic "Heuristics methods"

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PINHEIRO, SAULO BORGES. "CONTAINERS ROAD TRANSPORTATION OPTIMIZATION: EXACT AND HEURISTICS METHODS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34991@1.

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Apesar da dimensão continental brasileira, da grandeza de sua costa e da proximidade entre o litoral e os grandes centros urbanos, o transporte de cargas em contêineres utilizando a cabotagem ainda é muito restrito no Brasil. Neste cenário, para ganhar espaço, os armadores brasileiros de cabotagem buscam oferecer serviços porta-a-porta, conseguindo economias de escala na contratação dos fornecedores que realizam as pontas rodoviárias, aumentando assim a competitividade da cabotagem com seu principal concorrente, o modal rodoviário. Neste trabalho são apresentados dois modelos que visam minimiz
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Panthulu, Pradeep. "Intelligent Memory Management Heuristics." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4399/.

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Automatic memory management is crucial in implementation of runtime systems even though it induces a significant computational overhead. In this thesis I explore the use of statistical properties of the directed graph describing the set of live data to decide between garbage collection and heap expansion in a memory management algorithm combining the dynamic array represented heaps with a mark and sweep garbage collector to enhance its performance. The sampling method predicting the density and the distribution of useful data is implemented as a partial marking algorithm. The algorithm random
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Floriani, Lauro. "Multivariate statistical methods for studying the mechanics of heuristics." Nice, 2002. http://www.theses.fr/2002NICE5705.

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Les algorithmes constituent la plus efficace base de connaissances conçue par l'homme jusqu'à présent. La NP-completude indique que parmi l'ensemble des problèmes décidables il y en a que nous ne savons pas traiter de manière efficace, c. -à-d. Nous ne savons pas concevoir des algorithmes efficaces pour eux. Cependant, la pratique montre que beaucoup d'algorithmes sont quand même efficaces pour résoudre ces problèmes. C'est à dire que l'analyse expérimentale de leur relation entrée/sortie révèle une bien meilleure situation que ce qui peut être déduit d'une analyse mathématique des propriétés
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Amir-Hussin, Amir A. B. "Heuristic methods for coalition structure generation." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/26275.

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The Coalition Structure Generation (CSG) problem requires finding an optimal partition of a set of n agents. An optimal partition means one that maximizes global welfare. Computing an optimal coalition structure is computationally hard especially when there are externalities, i.e., when the worth of a coalition is dependent on the organisation of agents outside the coalition. A number of algorithms were previously proposed to solve the CSG problem but most of these methods were designed for systems without externalities. Very little attention has been paid to finding optimal coalition structur
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Remde, Stephen Mark. "Enhancing the performance of search heuristics : variable fitness functions and other methods to enhance heuristics for dynamic workforce scheduling." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4310.

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Scheduling large real world problems is a complex process and finding high quality solutions is not a trivial task. In cooperation with Trimble MRM Ltd., who provide scheduling solutions for many large companies, a problem is identified and modelled. It is a general model which encapsulates several important scheduling, routing and resource allocation problems in literature. Many of the state-of-the-art heuristics for solve scheduling problems and indeed other problems require specialised heuristics tailored for the problem they are to solve. While these provide good solutions a lot of expert
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Remde, Stephen M. "Enhancing the Performance of Search Heuristics. Variable Fitness Functions and other Methods to Enhance Heuristics for Dynamic Workforce Scheduling." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4310.

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Scheduling large real world problems is a complex process and finding high quality solutions is not a trivial task. In cooperation with Trimble MRM Ltd., who provide scheduling solutions for many large companies, a problem is identified and modelled. It is a general model which encapsulates several important scheduling, routing and resource allocation problems in literature. Many of the state-of-the-art heuristics for solve scheduling problems and indeed other problems require specialised heuristics tailored for the problem they are to solve. While these provide good solutions a lot of
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Kim, Dong-Gook. "An Analysis of Ecological and Social Rationality: When are Lexicographic Heuristics Preferred?" unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-08182008-212550/.

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Thesis (Ph. D.)--Georgia State University, 2008.<br>Title from file title page. Thomas Whalen, committee chair; Julian Diaz III, C. S. Thachenkary, Rodney Schultz, committee members. Electronic text (168 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed November 3, 2008. Includes bibliographical references (p. 164-168).
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Machac, Mary Kristin. "A Model of Expert Instructional Design Heuristics Incorporating Design Thinking Methods." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/102926.

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Novice instructional designers have limited experience working with ill-structured problems, and often do not possess the mental models to effectively analyze, manage, and communicate the overall design process of new instructional design projects (Wedman and Tessmer, 1993; Rowland, 1992; Perez and Emery, 1995; Liu, Gibby, Quiros, and Demps, 2002). In their 2016 article of expert instructional design principles applied by experienced designers in practice, York and Ertmer proposed the following questions for future research, "(a) Can we teach principles to novice instructional designers? (b) W
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Ozdemir, Ersin. "Evolutionary methods for the design of digital electronic circuits and systems." Thesis, Cardiff University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326874.

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Sucu, Seda. "Solving crew scheduling problem in offshore supply vessels : heuristics and decomposition methods." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=29270.

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For the efficient utilisation of resources in various transportation settings, scheduling is a significant area of research. Having crew as the main resource for operation maintenance, scheduling crew have been a powerful decision making tool for optimisation studies. This research provides a detailed real case study analysis regarding the difficulties in planning crew in maritime industry. As a special case study, this thesis researches crew scheduling in offshore supply vessels which are used for specific operations of a global scaled company in oil and gas industry deeply with modified form
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Books on the topic "Heuristics methods"

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Rabadi, Ghaith, ed. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26024-2.

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United States. National Aeronautics and Space Administration., ed. An empirical comparison of seven iterative and evolutionary function optimization heuristics. National Aeronautics and Space Administration, 1995.

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J, Rayward-Smith V., ed. Modern heuristic search methods. Wiley, 1996.

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Lewis, John N. Expert systems development utilizing heuristic methods. Naval Postgraduate School, 1996.

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Martí, Rafael, and Gerhard Reinelt. Exact and Heuristic Methods in Combinatorial Optimization. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64877-3.

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Paolo, Frasconi, Shamir Ron, and NATO Advanced Study Institute on Artificial Intelligence and Heuristic Methods in Bioinformatics (2001 : San Miniato, Italy), eds. Artificial intelligence and heuristic methods in bioinformatics. IOS Press, 2003.

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Eggen, Loren G. Approximating the chromatic number of an arbitrary graph using a supergraph heuristic. Naval Postgraduate School, 1997.

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Nicol, David M. A multistage linear array assignment problem. ICASE, 1988.

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Roos, N. TUD Faculty of Technical Mathematics and Informatics: Heuristic reasoning. National Aerospace Laboratory, 1988.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Formal and heuristic system decomposition methods in multidisciplinary synthesis. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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Book chapters on the topic "Heuristics methods"

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Li, PhD, Haksun. "Heuristics." In Numerical Methods Using Kotlin. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8826-9_11.

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Li, PhD, Haksun. "Heuristics." In Numerical Methods Using Java. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-6797-4_11.

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Martí, Rafael, Jose A. Lozano, Alexander Mendiburu, and Leticia Hernando. "Multi-start Methods." In Handbook of Heuristics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-07124-4_1.

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Parsopoulos, Konstantinos E. "Particle Swarm Methods." In Handbook of Heuristics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-07124-4_22.

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Martí, Rafael, Jose A. Lozano, Alexander Mendiburu, and Leticia Hernando. "Multi-start Methods." In Handbook of Heuristics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07153-4_1-1.

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Parsopoulos, Konstantinos E. "Particle Swarm Methods." In Handbook of Heuristics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07153-4_22-1.

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Martí, Rafael, and Gerhard Reinelt. "Meta-Heuristics." In Exact and Heuristic Methods in Combinatorial Optimization. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64877-3_3.

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Wright, Mike B., and Richard C. Marett. "A Preliminary Investigation into the Performance of Heuristic Search Methods Applied to Compound Combinatorial Problems." In Meta-Heuristics. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1361-8_19.

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Lowndes, Val, Ovidiu Bagdasar, and Stuart Berry. "Case Studies: Using Heuristics." In Simulation Foundations, Methods and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55417-4_6.

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Michalewicz, Zbigniew, and David B. Fogel. "Traditional Methods — Part 1." In How to Solve It: Modern Heuristics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07807-5_4.

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Conference papers on the topic "Heuristics methods"

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Aoki, Yoichi, Keito Kudo, Tatsuki Kuribayashi, et al. "First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.789.

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Ding, Qiang, Zhi Cai, Yanguang Chen, and Shengnan Xu. "Accelerating Mixed-Integer Optimization in Energy Storage Systems: A Novel Approach Using Heuristics, Interior Point Methods, and Clustering." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10990810.

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Adami, Momme, Dennis Espert, and Mirko Skiborowski. "Pimp my Distillation Sequence � Shortcut-based Screening of Intensified Configurations." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.169219.

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Distillation processes account for a substantial share of the industrial energy demand. Yet, these energy requirements can be reduced by a variety of energy integration methods, including various forms of direct heat integration, multi-effect distillation, thermal coupling and vapor recompression. Consequently, these intensification methods should be evaluated quantitatively in comparison to each other for individual separation tasks, instead of benchmarking single options with conventional sequences or relying on simplified heuristics. In order to overcome the computational burden of a broad
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Adey, Robert A., and John Baynham. "Design and Optimisation of Cathodic Protection Systems Using Computer Simulation." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00723.

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Abstract The design of cathodic protection systems normally relies on a combination of experience, experimental data and heuristics. However, problems and failures of CP systems not only has an economic cost, it can also present a threat to life and the environment. This paper will describe the application of a software system designed to simulate the performance of cathodic protection systems and predict the impact of the design parameters and the environment on its performance. Two applications are presented. The first describes an approach to the global optimisation of a ship's Impressed Cu
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Wichlacz, Julia, Daniel Höller, and Jörg Hoffmann. "Landmark Heuristics for Lifted Classical Planning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/647.

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While state-of-the-art planning systems need a grounded (propositional) task representation, the input model is provided "lifted", specifying predicates and action schemas with variables over a finite object universe. The size of the grounded model is exponential in predicate/action-schema arity, limiting applicability to cases where it is small enough. Recent work has taken up this challenge, devising an effective lifted forward search planner as basis for lifted heuristic search, as well as a variety of lifted heuristic functions based on the delete relaxation. Here we add a novel family of
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Interian, Yannet, and Sara Bernardini. "Learning Interpretable Heuristics for WalkSAT." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/36.

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Local search algorithms are well-known methods for solving large, hard instances of the satisfiability problem (SAT). The performance of these algorithms crucially depends on heuristics for setting noise parameters and scoring variables. The optimal setting for these heuristics varies for different instance distributions. In this paper, we present an approach for learning effective variable scoring functions and noise parameters by using reinforcement learning. We consider satisfiability problems from different instance distributions and learn specialized heuristics for each of them. Our exper
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Mischek, Florian, and Nysret Musliu. "Reinforcement Learning for Cross-Domain Hyper-Heuristics." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/664.

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In this paper, we propose a new hyper-heuristic approach that uses reinforcement learning to automatically learn the selection of low-level heuristics across a wide range of problem domains. We provide a detailed analysis and evaluation of the algorithm components, including different ways to represent the hyper-heuristic state space and reset strategies to avoid unpromising areas of the solution space. Our methods have been evaluated using HyFlex, a well-known benchmarking framework for cross-domain hyper-heuristics, and compared with state-of-the-art approaches. The experimental evaluation s
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Hu, Shuli, and Nathan R. Sturtevant. "Direction-Optimizing Breadth-First Search with External Memory Storage." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/175.

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While computing resources have continued to grow, methods for building and using large heuristics have not seen significant advances in recent years. We have observed that direction-optimizing breadth-first search, developed for and used broadly in the Graph 500 competition, can also be applied for building heuristics. But, the algorithm cannot run efficiently using external memory -- when the heuristics being built are larger than RAM. This paper shows how to modify direction-optimizing breadth-first search to build external-memory heuristics. We show that the new approach is not effective in
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Rosa, Lucas, and Alfredo Goldman. "In search of efficient scheduling heuristics from simulations and Machine Learning." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/wscad_estendido.2022.226323.

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High Performance Computing (HPC) systems are used to solve a number of complex issues in different fields of knowledge. However, these platforms have been rapidly evolving in size and complexity; and ensuring efficiency in managing applications (jobs) has become a challenge. Typically, this management involves scheduling heuristics that consist of functions to order the jobs. In this work we evaluate the limits of regression methods for creating scheduling heuristics. Our results show that the simplest heuristic led to the most efficient scheduling, while the more complex heuristics showed ins
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"Multiple RNA Interaction - Formulations, Approximations, and Heuristics." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004341402420249.

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Reports on the topic "Heuristics methods"

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Rotemberg, Julio. A Heuristic Method for Extracting Smooth Trends from Economic Time Series. National Bureau of Economic Research, 1999. http://dx.doi.org/10.3386/w7439.

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Financial Stability Report - First Half of 2019. Banco de la República, 2025. https://doi.org/10.32468/rept-estab-fin.sem1.eng-2019.

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This Financial Stability Report presents the appreciation of Banco de la República (the Central Bank of Colombia) on the recent performance of credit institutions and their debtors, as well as on the main risks and vulnerabilities that could have some effect on the financial stability of the Colombian economy. The Report intends to inform both participants in financial markets and the general public, besides promoting public debate on the trends and risks that may affect the financial system. The results herein presented also serve the monetary authority as an input in their decision-making to
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