Relevant bibliographies by topics / Pareto Dominance Criterion

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

Academic literature on the topic 'Pareto Dominance Criterion'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Pareto Dominance Criterion"

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Li, Lin, Hengfei Wu, Xiujian Hu, and Guanglei Sheng. "Evolutionary Algorithm for Multiobjective Optimization Based on Density Estimation Ranking." Wireless Communications and Mobile Computing 2021 (July 5, 2021): 1–18. http://dx.doi.org/10.1155/2021/4296642.

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In the past few decades, a number of multiobjective evolutionary algorithms (MOEAs) have been proposed in the continue study. As pointed out in some recent studies, the performance of the most existing MOEAs is not promising when solving different shapes of Pareto fronts. To address this issue, this paper proposes an MOEA based on density estimation ranking. The algorithm includes density estimation ranking to shift the reference solution position, calculating the density of candidate solutions and ranking by the estimated density value, to modify the Pareto dominance relation and for handling
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Sun, S. A., S. Djordjević, and S. T. Khu. "Decision making in flood risk based storm sewer network design." Water Science and Technology 64, no. 1 (2011): 247–54. http://dx.doi.org/10.2166/wst.2011.179.

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It is widely recognised that flood risk needs to be taken into account when designing a storm sewer network. Flood risk is generally a combination of flood consequences and flood probabilities. This paper aims to explore the decision making in flood risk based storm sewer network design. A multi-objective optimization is proposed to find the Pareto front of optimal designs in terms of low construction cost and low flood risk. The decision making process then follows this multi-objective optimization to select a best design from the Pareto front. The traditional way of designing a storm sewer s
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Emelichev, V. A., and S. E. Bukhtoyarov. "Stability measure of multicriteria integer linear programming problem with a parametric optimality principle." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 58, no. 2 (2022): 179–89. http://dx.doi.org/10.29235/1561-2430-2022-58-2-179-189.

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In this paper, we consider a multicriteria integer linear programming problem with a parametric principle of optimality. Parameterization is realized by dividing the set of criteria into several disjoint groups (subsets) of criteria ordered by importance, with Pareto dominance within each group. The introduced parametric principle of optimality made it possible to connect such classical principles of optimality as lexicographic and Pareto ones. For the stability radius, which is the limiting level of perturbations of the parameters of the problem, not causing the appearance of new optimal solu
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Vasile, M., and F. Zuiani. "Multi-agent collaborative search: an agent-based memetic multi-objective optimization algorithm applied to space trajectory design." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225, no. 11 (2011): 1211–27. http://dx.doi.org/10.1177/0954410011410274.

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This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent. These heuristics are complemented with a combination of a local and global archive. The novel agent-based algorithm is tested at first on a set of standard problems and then on three specific problems in space trajectory design. Its performance is compared against a number of state-of-the-art multi-objective optimization algorithms that use the Pareto
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Korneenko, V. P. "Methods of Multi-Criteria Judgment and Selection of Objects Based on Relations with the k-th Order of Strict Preference." Informacionnye Tehnologii 29, no. 9 (2023): 457–66. http://dx.doi.org/10.17587/it.29.457-466.

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Methods of multi-criteria judgment and selection of objects based on the resulting relation with the к -th order of their strict preference are proposed. It is shown that the resulting Pareto and Slater dominance relations are a special case of the resulting relationship with the k-th order of strict preference. A detailed analysis of the method of narrowing the set of nondominable objects, which is based on the coefficient of relative importance (coefficient of compromise) for a pair of criteria, is carried out. Based on the example when one criterion is more important than another in advance
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Pimenov, Viktor, and Ilya Pimenov. "Data Analysis and Visualization in the Tasks of the Project Solutions Multicriteria Optimization." Informatics and Automation 21, no. 3 (2022): 543–71. http://dx.doi.org/10.15622/ia.21.3.4.

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The accumulation of data on project management processes and standard solutions has made relevant research related to the use of knowledge engineering methods for a multi-criteria search for options that set optimal settings for project environment parameters. Purpose: Development of a method for searching and visualizing groups of projects that can be evaluated based on the concept of dominance and interpreted in terms of project variables and performance indicators. Methods: The enrichment of the sample while maintaining an implicit link between the project variables and performance indicato
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Sarana, Viktor, and Vasyl Sereda. "Multi-criterion selection of wolf mixers." Human and nation's health, no. 2 (December 29, 2023): 56–71. http://dx.doi.org/10.31548/humanhealth.2.2023.56.

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The quality of the finished sausage product is affected not only by the quality of raw materials, but also by the process of grinding the meat and obtaining high-quality minced meat. Planning production lines in the food industry is associated with difficulties due to the need for an informed choice of the right equipment. Therefore, the purpose of this work is to increase the technological efficiency of meat processing by determining the rational type of mixer-mixer by the method of multi-criteria analysis of the equipment. On the market, stirrers are available in different capacities with di
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Garcia-Bernabeu, A., J. V. Salcedo, A. Hilario, D. Pla-Santamaria, and Juan M. Herrero. "Computing the Mean-Variance-Sustainability Nondominated Surface by ev-MOGA." Complexity 2019 (December 11, 2019): 1–12. http://dx.doi.org/10.1155/2019/6095712.

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Despite the widespread use of the classical bicriteria Markowitz mean-variance framework, a broad consensus is emerging on the need to include more criteria for complex portfolio selection problems. Sustainable investing, also called socially responsible investment, is becoming a mainstream investment practice. In recent years, some scholars have attempted to include sustainability as a third criterion to better reflect the individual preferences of those ethical or green investors who are willing to combine strong financial performance with social benefits. For this purpose, new computational
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Lai, Yuling, Junming Chen, Yile Chen, Hui Zeng, and Jialin Cai. "Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization." Mathematics 13, no. 4 (2025): 629. https://doi.org/10.3390/math13040629.

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In practical applications, constrained multi-objective optimization problems (CMOPs) often fail to achieve the desired results when dealing with CMOPs with different characteristics. Therefore, to address this drawback, we designed a constraint multi-objective evolutionary algorithm based on feedback tracking constraint relaxation, referred to as CMOEA-FTR. The entire search process of the algorithm is divided into two stages: In the first stage, the constraint boundaries are adaptively adjusted based on the feedback information from the population solutions, guiding the boundary solutions tow
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Njah, M., and Hamdi R. El. "A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1685–93. https://doi.org/10.5281/zenodo.809269.

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This paper proposes a new approach to address the optimal design of a Feed-forward Neural Network (FNN) based classifier. The originality of the proposed methodology, called CMOA, lie in the use of a new constraint handling technique based on a self-adaptive penalty procedure in order to direct the entire search effort towards finding only Pareto optimal solutions that are acceptable. Neurons and connections of the FNN Classifier are dynamically built during the learning process. The approach includes differential evolution to create new individuals and then keeps only the non-dominated ones a
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Dissertations / Theses on the topic "Pareto Dominance Criterion"

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Iyer, Naresh Sundaram. "A Family of Dominance Filters for Multiple Criteria Decision Making: Choosing the Right Filter for a Decision Situation." Connect to this title online, 2001. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1005939267.

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Thesis (Ph. D.)--Ohio State University, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains xiv, 169 p.; also contains graphics (some col.). Includes abstract and vita. Advisor: B. Chandresekaran, Dept. of Computer and Information Science. Includes bibliographical references (p. 165-169).
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Books on the topic "Pareto Dominance Criterion"

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Bueno, Otávio, Ruey-Lin Chen, and Melinda Bonnie Fagan, eds. Individuation, Process, and Scientific Practices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636814.001.0001.

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This book concerns a classic philosophical question: “What things count as individuals?” Rather than addressing it from the perspective of analytic metaphysics, this volume proposes to reformulate and answer it from the perspective of scientific practices. So reformulated, the new question is: “How do scientists individuate the things they investigate and thus count them as individuals?” More precisely, our reformulated approach involves three themes: experimental practice, process, and pluralism. The three themes together comprise a unique approach to the classic problem of individuality, and
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Aguirre, Susana E., and María Luján Lanciotti, eds. Voces del relato histórico. Editorial de la Universidad Nacional de La Plata (EDULP), 2017. http://dx.doi.org/10.35537/10915/63692.

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Este libro se gestó a la sombra de un gran interrogante que atraviesa nuestro trabajo en el aula, puntualmente ¿cómo proporcionar a los/as estudiantes textos que sin dejar de ser rigurosos y académicos faciliten la comprensión de la Historia, Historia del Arte y Geografía? Fue en esa dirección que asumimos este desafío, ahora plasmado en su escritura, con el objetivo de generar una producción académica, pero mediada, para optimizar el acceso y la lectura de los/as estudiantes en la dinámica del proceso de enseñanza y aprendizaje. Los trabajos que integran esta producción se inscriben en una lí
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Book chapters on the topic "Pareto Dominance Criterion"

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Aysha, Saima, and Shrimali Tarun. "A Pareto Dominance Approach to Multi-criteria Recommender System Using PSO Algorithm." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2594-7_60.

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Ahmed, Abdelrahman A. Mohamed, and Mohamed Hassan Gadallah. "Improved Strength Pareto Global Adaptive Multi-Objective Optimization Search and Selection Algorithm (ISPGAEA)." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7117-6.ch009.

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Meta heuristic hybrid search optimization methods combine advantages of several methods in hybrid one. randomly generated solutions are archived, assessing diversity and convergence. However, after several cycles, random generated numbers tend to cluster rather than fill the search space. Uniform random number generators for initializing meta heuristic algorithms have drawbacks like uneven distribution, high disparities, and ineffective search space coverage. Control parameters in Genetic Algorithms, such as crossover and mutation, can impact the trade-off solutions of search space. The resear
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Conference papers on the topic "Pareto Dominance Criterion"

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Bily, Christopher S., and Richard J. Malak. "Efficient Sampling Methods for Tradeoff Studies Under Uncertainty." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70551.

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Tradeoff studies help designers better understand how different design considerations relate to one another and to make decisions. Generally a tradeoff study involves a systematic multi-criteria evaluation of various alternatives for a particular system or subsystem. After evaluating these alternatives, designers eliminate those that perform poorly using the Pareto dominance criterion and explore more carefully those that remain. An analogous procedure is possible when design criteria are uncertain. This approach is based on stochastic dominance principles that involve comparisons of probabili
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Röpke, Willem, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, and Diederik M. Roijers. "Distributional Multi-Objective Decision Making." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/634.

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For effective decision support in scenarios with conflicting objectives, sets of potentially optimal solutions can be presented to the decision maker. We explore both what policies these sets should contain and how such sets can be computed efficiently. With this in mind, we take a distributional approach and introduce a novel dominance criterion relating return distributions of policies directly. Based on this criterion, we present the distributional undominated set and show that it contains optimal policies otherwise ignored by the Pareto front. In addition, we propose the convex distributio
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Lobato, Fran Se´rgio, Edu Barbosa Arruda, Aldemir Ap Cavalini, and Valder Steffen. "Engineering System Design Using Firefly Algorithm and Multi-Objective Optimization." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47197.

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Modern engineering problems, such as aircraft or automobile design, are often composed by a large number of variables that must be chosen simultaneously for better design performance. Normally, most of these parameters are conflicting, i.e., an improvement in one of them does not lead, necessarily, to better results for the other ones. Thus, many methods to solve multi-objective optimization problems (MOP) have been proposed. The MOP solution, unlike the single objective problems, is a set of non-dominated solutions that form the Pareto Curve, also known as Pareto Optimal. Among the MOP algori
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Voinea, Mihaela, and Andreea Sitoiu. "Children’s Wellbeing Starts at Home. Redefining Parenting According to the Digitalized Society." In ATEE 2020 - Winter Conference. Teacher Education for Promoting Well-Being in School. LUMEN Publishing, 2021. http://dx.doi.org/10.18662/lumproc/atee2020/37.

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The changes in digitalized society are reflected in the family and school environment. Nowadays children are characterized as “Homo zappiens” (Veen &amp; Vrakking, 2011) or “digi” generation (Gold, 2016) because they are growing up using modern technology (mobile phone, computer, iPod etc.) since early childhood. The use of new communication technologies by children induced major changes in play, learning and parenting. They learn and play in a global and digital culture. This could lead to huge discrepancies between generations, especially between parents and children, children and educators.
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Albarello, Nicolas, and Jean-Baptiste Welcomme. "Computational Design Synthesis: A Model-Based Approach for Complex Systems." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82502.

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The design of systems architectures often involve a combinatorial design-space made of technological and architectural choices. A complete or large exploration of this design space requires the use of a method to generate and evaluate design alternatives. This paper proposes an innovative approach for the design-space exploration of systems architectures. The SAMOA (System Architecture Model-based OptimizAtion) tool associated to the method is also introduced. The method permits to create a large number of various system architectures combining a set of possible components to address given sys
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Kalsum, Ummi, and Hendra Dhermawan Sitanggang. "Relationship between Snacks and Beverages with the Nutritional Status among 'SAD' Children in Nyogan Village, Muaro Jambi, Jambi Province." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.06.

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Background: Malnutrition among children is still a public health problem in Jambi Province, especially in the Suku Anak Dalam (SAD) community. Most of the nutritional problems among SAD children are underweight and stunting. Malnutrition in SAD children could be related to their consumption patterns of snack and beverage. This study aimed to examine the relationship between consumption patterns of snack and beverage with the nutritional status among SAD children. Subejects and Method: A cross sectional was conducted in Nyogan Village, Jambi. A total of 78 SAD children aged 5-14 years was enrol
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Brown, Alison, Ward Gorter, Luc Vanderschuren, Peter Tromans, Phil Jonathan, and Paul Verlaan. "Design Approach for Turret Moored Vessels in Highly Variable Squall Conditions." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61005.

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This paper focuses on examining the response of a large turret-moored FPSO or FLNG vessel in squall conditions and presents a novel and statistically robust response-based approach for the derivation of squall governed design loads. Turret mooring arrangements are typically used as a permanent mooring for FPSO and FLNG vessels, usually in deeper waters and in remote areas where storage capacity is required. The weather-vaning capability makes this type of mooring suitable for many types of environment; however, in tropical environments where metocean conditions are otherwise relatively benign,
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