Výsledky vyhledávání - Distributed multi-objective optimization problems

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Autoři: Frank Neumann Carsten Witt

Zdroj: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. :4800-4806

Témata: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39101892
http://arxiv.org/abs/2109.05799

Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random Variables^*.

Autoři: Neumann, Frank Witt, Carsten

Zdroj: Evolutionary Computation. Summer2025, Vol. 33 Issue 2, p191-214. 24p.

Témata: *MULTI-objective optimization, *DOMINATING set, *PROBABILITY theory, *SPANNING trees

Dominance Ranking Algorithms for Solving Multi-Objective Optimization Problems Using Genetic Algorithms

Autoři: A. G. Yurtaev

Zdroj: Programmnaya Ingeneria. 16:462-469

Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops

Autoři: Xin Yang Xiaoying Yang Jinhao Du

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Témata: Multi-objective optimization, Distributed production workshops, Production scheduling, Science, Crayfish optimization algorithm, Reinforcement learning, Medicine, Article

Přístupová URL adresa: https://doaj.org/article/9714883e22f540f1ad3024c18f99b17f

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Autoři: De Raedt, Luc Neumann, Frank Witt, Carsten

Zdroj: Neumann , F & Witt , C 2022 , Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables . in L De Raedt & L De Raedt (eds) , Proceedings of the 31 st International Joint Conference on Artificial Intelligence . International Joint Conferences on Artificial Intelligence Organization , pp. 4800-4806 , 31 st International Joint Conference on Artificial Intelligence , Vienna , Austria , 23/07/2022 .

Témata: contributionToPeriodical

URL: https://orbit.dtu.dk/en/publications/2e20a82e-e70e-49be-bbe9-4b73c491c221
https://backend.orbit.dtu.dk/ws/files/297692582/2109.05799.pdf

A Distributed Bi-Behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization Problems

Autoři: Ahlem Aboud Nizar Rokbani Bilel Neji a další

Zdroj: Applied Sciences, Vol 12, Iss 19, p 9627 (2022)

Témata: beta function, crow search algorithm, dynamic multi-objective optimization problems, evolutionary algorithm, many-objective optimization problems, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/19/9627; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/e86ff5f9d09946fb95ccefca953df508

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Autoři: Neumann, Frank Witt, Carsten

Témata: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2109.05799

Distributed Multi-objective Optimization in Cyber-Physical Energy Systems

Autoři: Stark, Sanja Frost, Emilie Nebel-Wenner, Marvin

Zdroj: ACM SIGEnergy Energy Informatics Review. 4:7-18

Témata: Computer Science - Multiagent Systems

Přístupová URL adresa: http://arxiv.org/abs/2403.04627

A systematic literature review about multi-objective optimization for distributed manufacturing scheduling in the industry 4.0

Autoři: dos Santos, Francisco Costa, Lino Varela, M.L.R. a další

Přispěvatelé: dos Santos, Francisco Costa, Lino Varela, M.L.R. a další

Témata: Decision-making support, Distributed manufacturing scheduling, Industry 4.0, Multi-objective optimization

Popis souboru: application/pdf

Relation: 9783031105616; 0302-9743

Dostupnost: https://hdl.handle.net/1822/82461

Multi-objective optimization model and algorithm implementation of the distributed power generation system for renewable energy in China and Russia.

Autoři: Yingkai Ma

Zdroj: Unconventional Resources; Jul2025, Vol. 7, p1-12, 12p

Témata: LONG short-term memory, MULTI-objective optimization, ENERGY consumption, DEEP learning, ENERGY industries, PARTICLE swarm optimization, DIFFERENTIAL evolution

Multi-objective dung beetle optimization algorithm: A novel algorithm for solving complex multi-objective optimization problems.

Autoři: Wu, Wenxing Tian, Liqin Wu, Junyi a další

Zdroj: PLoS ONE; 10/14/2025, Vol. 20 Issue 10, p1-27, 27p

Témata: MULTI-objective optimization, OPTIMIZATION algorithms, PROBLEM solving

Multi-objective optimization of the job shop scheduling problem on unrelated parallel machines with sequence-dependent setup times

Autoři: Santos, Francisco dos Costa, Lino Varela, M.L.R. a další

Přispěvatelé: Santos, Francisco dos Costa, Lino Varela, M.L.R. a další

Témata: Evolutionary algorithms, Job shop scheduling problem, Multi-objective optimization

Popis souboru: application/pdf

Relation: 978-3-031-37107-3; 0302-9743

Dostupnost: https://hdl.handle.net/1822/89715

Multimodal multi-objective state transition algorithm.

Autoři: Chu, Junwen Han, Xiaoxia Wu, Jinde a další

Zdroj: Cluster Computing; 2025, Vol. 28 Issue 11, p1-28, 28p

Témata: MULTI-objective optimization, PARETO optimum, MATHEMATICAL optimization, HETEROGENEITY, PROBLEM solving, DYNAMIC programming

Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random Variables^*.

Autoři: Neumann, Frank Witt, Carsten

Zdroj: Evolutionary Computation; Summer2025, Vol. 33 Issue 2, p191-214, 24p

Témata: MULTI-objective optimization, DOMINATING set, PROBABILITY theory, SPANNING trees

C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm.

Autoři: Alp, Sait Dehkharghani, Rahim Akan, Taymaz

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-27, 27p

Témata: MULTI-objective optimization, CONSTRAINED optimization, MATHEMATICAL optimization, BENCHMARK problems (Computer science)

Comparative evaluation of large-scale many objective algorithms on complex optimization problems.

Autoři: Chaudhary, R. Prajapati, A.

Zdroj: Iranian Journal of Numerical Analysis & Optimization; 2025, Vol. 15 Issue 4, p1498-1537, 40p

Témata: MULTI-objective optimization, OPTIMIZATION algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science), COMPARATIVE studies, EVOLUTIONARY computation

Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems

Autoři: Gustavo R. Zavala Carlos A. Coello Coello Antonio J. Nebro a další

Zdroj: The Computer Journal. 59:777-792

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An efficient Warlus optimizer for solving multi-objective optimization problems: case study with action recognition.

Autoři: Houssein, Essam H. Mahdy, Mohamed A. Kayed, Mohammed a další

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 10, p1-22, 22p

Témata: MULTI-objective optimization, HUMAN activity recognition, MATHEMATICAL optimization, COMPARATIVE studies, FEATURE selection, OPTIMIZATION algorithms

A dual-archive evolutionary algorithm based on multitasking for multimodal multi-objective optimization with local Pareto solutions.

Autoři: Feng, Da Liu, Jianchang Ouyang, Haibin

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-25, 25p

Témata: MULTI-objective optimization, PARETO optimum, BENCHMARK problems (Computer science), EVOLUTIONARY algorithms, COMPUTER multitasking

Multiple Strategies Boosted Orca Predation Algorithm for Engineering Optimization Problems

Autoři: Essam H. Houssein Mohammed R. Saad Abdelmgeid A. Ali

Zdroj: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-26 (2023)

Témata: Artificial intelligence, Computer Networks and Communications, Population, Orca predation algorithm, 02 engineering and technology, Local optimum, Evolutionary computation, 7. Clean energy, Node localization, Selection (genetic algorithm), Sociology, Artificial Intelligence, Distributed Multi-Agent Coordination and Control, Distributed Optimization, Evolutionary algorithm, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Optimization problem, Metaheuristic algorithms, Demography, Greedy selection, Lévy flight, Global Optimization, Multi-Objective Optimization, Mathematical optimization, QA75.5-76.95, CMA-ES, 16. Peace & justice, Computer science, Ant Colony Optimization, FOS: Sociology, Algorithm, Computational Theory and Mathematics, Particle Swarm Optimization, 13. Climate action, Electronic computers. Computer science, Computer Science, Physical Sciences, Evolution strategy, Differential evolution, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Přístupová URL adresa: https://doaj.org/article/8f9173230a0446b0ba8ac81de56da920