Výsledky vyhledávání - Interactive optimization Multi-objective optimization Evolutionary optimization Knapsack problem

D-MEANDS-MD: an improved evolutionary algorithm with memory and diversity strategies applied to a discrete, dynamic, and many-objective optimization problem.

Zdroj: Knowledge Engineering Review; 2024, Vol. 39, p1-33, 33p

Témata: EVOLUTIONARY algorithms, MULTI-objective optimization, ALGORITHMS, MEMORY, KNAPSACK problems

Interactive evolutionary multi-objective optimization for quasi-concave preference functions

Autoři: Fowler, John W. Gel, Esma S. Köksalan, Murat M. a další

Zdroj: European Journal of Operational Research. Oct2010, Vol. 206 Issue 2, p417-425. 9p.

Témata: *MATHEMATICAL optimization, *DECISION making, KNAPSACK problems, CONCAVE functions, QUASIANALYTIC functions, HYBRID systems, GENETIC algorithms

An enhanced multi-operator differential evolution algorithm for tackling knapsack optimization problem.

Autoři: Sallam, Karam M. Abohany, Amr A. Rizk-Allahi, Rizk M.

Zdroj: Neural Computing & Applications; Jun2023, Vol. 35 Issue 18, p13359-13386, 28p

Témata: DIFFERENTIAL evolution, KNAPSACK problems, ALGORITHMS, SEARCH algorithms, EVOLUTIONARY algorithms, COMBINATORIAL optimization

Parallel implementation of an exact two-phase method for the biobjective knapsack problem.

Autoři: Chaabane, Khadidja Bouroubi, Sadek Djellouli, Younes

Zdroj: RAIRO: Operations Research (2804-7303); 2024, Vol. 58 Issue 4, p3347-3367, 21p

Témata: COMBINATORIAL optimization, PARALLEL programming, TEST methods, ALGORITHMS, KNAPSACK problems, LITERATURE

Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics.

Autoři: Cisternas-Caneo, Felipe Crawford, Broderick Soto, Ricardo a další

Zdroj: Mathematics (2227-7390); Jan2024, Vol. 12 Issue 2, p262, 36p

Témata: COMBINATORIAL optimization, METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, IMAGE encryption, KNAPSACK problems

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems

Autoři: Cuate, Oliver Derbel, Bilel Liefooghe, Arnaud a další

Přispěvatelé: Cuate, Oliver Derbel, Bilel Liefooghe, Arnaud a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319541563

Témata: Discrete Optimization, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Many objective optimization, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, Multi-Criteria Decision Making, Evolutionary Computation, 16. Peace & justice, Knapsack, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-01581433/file/cuate.emo2017.pdf
https://hal.science/hal-01581433v1/document
https://doi.org/10.1109/tsmcb.2008.926329
https://hal.science/hal-01581433v1
https://dblp.uni-trier.de/db/conf/emo/emo2017.html#CuateDLTS17
https://rd.springer.com/chapter/10.1007/978-3-319-54157-0_10
https://link.springer.com/chapter/10.1007/978-3-319-54157-0_10
https://hal.inria.fr/hal-01654731
https://hal.archives-ouvertes.fr/hal-01581433/document
https://hal.archives-ouvertes.fr/hal-01581433

Multi-objective combinatorial optimization using evolutionary algorithms

Autoři: Özsayin, Burcu Köksalan, Mustafa Murat Diğer

Přispěvatelé: Özsayin, Burcu Köksalan, Mustafa Murat Diğer

Témata: Endüstri ve Endüstri Mühendisliği, Multiobjective combinatorial optimization, Industrial and Industrial Engineering, Interactive methods

Popis souboru: application/pdf

Přístupová URL adresa: https://acikbilim.yok.gov.tr/handle/20.500.12812/247173

Identifying preferred solutions to Multi-Objective Binary Optimisation problems, with an application to the Multi-Objective Knapsack Problem.

Autoři: Argyris, Nikolaos Rui Figueira, José Morton, Alec

Zdroj: Journal of Global Optimization; Feb2011, Vol. 49 Issue 2, p213-235, 23p

Témata: MATHEMATICAL optimization, INTEGER programming, CRITERION (Theory of knowledge), KNAPSACK problems, SYSTEM analysis

Embedding Multi-Attribute Decision Making into Evolutionary Optimization to Solve the Many-Objective Combinatorial Optimization Problems.

Autoři: Yicha Zhang Weijun Wang Alain Bernard

Zdroj: Journal of Grey System; 2016, Vol. 28 Issue 3, p124-143, 20p

Témata: EMBEDDINGS (Mathematics), MULTIPLE criteria decision making, MATHEMATICAL optimization, COMBINATORICS, GREY relational analysis

Evolutionary Many-Objective Algorithms for Combinatorial Optimization Problems: A Comparative Study.

Autoři: Behmanesh, Reza Rahimi, Iman Gandomi, Amir H.

Zdroj: Archives of Computational Methods in Engineering; 2021, Vol. 28 Issue 2, p673-688, 16p

Computationally efficient evolutionary optimisation for joint reservoir design-operations.

Autoři: Motevali Bashi Naeini, Elaheh Soltaninia, Shahrokh

Zdroj: Proceedings of ICE: Water Management; Jun2023, Vol. 176 Issue 3, p132-147, 16p

A special 0-1 Knapsack problem for a small vegetable retailing system under fuzziness: a swarm optimization based approach.

Autoři: Acharyya, Samiran Changdar, Chiranjit Nandi, Utpal

Zdroj: Neural Computing & Applications; Jun2022, Vol. 34 Issue 11, p9175-9190, 16p

Témata: KNAPSACK problems, ANT algorithms, PRODUCE markets, FUZZY numbers, VEGETABLES

A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms.

Autoři: He, Linjun Ishibuchi, Hisao Trivedi, Anupam a další

Zdroj: IEEE Transactions on Evolutionary Computation; Dec2021, Vol. 25 Issue 6, p1028-1048, 21p

Témata: FIX-point estimation, EVOLUTIONARY computation, MATHEMATICAL optimization

An Interactive Evolutionary Metaheuristic for Multiobjective Combinatorial Optimization.

Autoři: Phelps, Selcen Köksalan Jr., Murat

Zdroj: Management Science; Dec2003, Vol. 49 Issue 12, p1726-1738, 13p, 6 Charts

Témata: MULTIPLE criteria decision making, COMBINATORICS, KNAPSACK problems, MEMORY, DECISION making, ALGORITHMS

Multi-objective Combinatorial Optimization Using Evolutionary Algorithms

Autoři: Ozsayin, Burcu

Thesis Advisors: Koksalan, Murat

Témata: QA Mathematical Analysis 276-280, Multi-objective Evolutionary Algorithms Multi-objective Combinatorial Optimization Preference Incorporation Interactive Method

Popis souboru: text/pdf

Dostupnost: http://etd.lib.metu.edu.tr/upload/2/12610866/index.pdf

Entropy–Based Diversification Approach for Bio–Computing Methods.

Autoři: Olivares, Rodrigo Soto, Ricardo Crawford, Broderick a další

Zdroj: Entropy; Sep2022, Vol. 24 Issue 9, pN.PAG-N.PAG, 28p

Témata: BIOLOGICALLY inspired computing, PARTICLE swarm optimization, KNAPSACK problems, ARTIFICIAL intelligence, RANDOM variables, BLACK holes

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem.

Autoři: Martins, Marcella S. R. Delgado, Myriam R. B. S. Lüders, Ricardo a další

Zdroj: Journal of Heuristics; Feb2018, Vol. 24 Issue 1, p25-47, 23p

Témata: BAYES' estimation, BAYESIAN analysis, DISTRIBUTION (Probability theory), KNAPSACK problems, INTEGER programming

Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm.

Autoři: Sindhya, Karthik Deb, Kalyanmoy Miettinen, Kaisa

Zdroj: Natural Computing; Dec2011, Vol. 10 Issue 4, p1407-1430, 24p

Témata: ECONOMIC convergence, MULTIPLE criteria decision making, MULTIDISCIPLINARY design optimization, INDUSTRIAL efficiency, ALGORITHMS, PARETO optimum, MATHEMATICAL programming

Use of a goal-constraint-based approach for finding the region of interest in multi-objective problems.

Autoři: Landa, Ricardo Lárraga, Giomara Toscano, Gregorio

Zdroj: Journal of Heuristics; Feb2019, Vol. 25 Issue 1, p107-139, 33p

Témata: EVOLUTIONARY algorithms, DECISION making, INTERPOLATION, OPERATIONS research, PARETO analysis, GEOMETRIC vertices

Hybrid Learning Moth Search Algorithm for Solving Multidimensional Knapsack Problems.

Autoři: Feng, Yanhong Wang, Hongmei Cai, Zhaoquan a další

Zdroj: Mathematics (2227-7390); Apr2023, Vol. 11 Issue 8, p1811, 28p

Témata: BLENDED learning, KNAPSACK problems, SEARCH algorithms, METAHEURISTIC algorithms, LEVY processes, MOTHS