Výsledky vyhledávání - constrained multi-objective optimisation problems*

Push and Pull Framework with Integrated Evolutionary Learning to Solve Expensive Constrained Multi-Objective Optimization Problems

Autoři: Wulin Cai Zhaojun Wang Jiachun Huang a další

Zdroj: 2025 IEEE 15th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). :474-479

An Evolutionary Algorithm for Solving Decision Space Constrained Multi-Objective Binary Optimization Problems

Autoři: Felipe Honjo Ide Hernan Aguirre Kiyoshi Tanaka

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :563-571

Newton Iteration with Weighted Exponential Penalty Function for Solving Multi-Objective Constrained Optimization Problems

Zdroj: Journal of Quality Measurement and Analysis. 21:93-108

A Two-stage Single Population Evolutionary Algorithm for Constrained Multi-objective Optimization Problems

Autoři: Lijun Li Huaqiang Xu Zhen Xu a další

Zdroj: 2025 IEEE 12th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). :1330-1334

Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems

Autoři: Kangjia Qiao Jing Liang Kunjie Yu a další

Zdroj: IEEE/CAA Journal of Automatica Sinica. 11:1819-1835

Témata: evolutionary multitasking, knowledge transfer, single constraint, Constrained multi-objective optimization (CMOPs)

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10576/62256

A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems

Autoři: Guangpeng Li Li Li Guoyong Cai

Zdroj: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-34 (2025)

Témata: Constrained multi-objective optimization problems, Coevolutionary framework, Constraints decomposition, Single-constraint problems, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/aff32ff0e0b4491490bd3d5fbd20df47

A decision variables classification-based evolutionary algorithm for constrained multi-objective optimization problems

Autoři: Xuanxuan Ban Jing Liang Kangjia Qiao a další

Zdroj: IEEE/CAA Journal of Automatica Sinica. :1-19

A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems

Autoři: Tianyu Liu Yu Wu He Xu

Zdroj: Memetic Computing. 17

A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Autoři: Chenli Shi Ziqi Wang Xiaohang Jin a další

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 655-675 (2023)

Témata: Parallel algorithm, 0209 industrial biotechnology, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, Staging strategy, QA75.5-76.95, Information technology, 02 engineering and technology, Constrained multi-objective optimization problems (CMOPs), Evolutionary algorithms, T58.5-58.64, Coevolution

Přístupová URL adresa: https://doaj.org/article/1709900070624220b9cc8feaf3cf8e07

A Hybrid Approach for Box Constrained Multi-objective Optimization Problems Combining Quasi-Newton and NSGA-II Methods

Autoři: Anurag Singh Md Abu Talhamainuddin Ansary

A Bilayered Decomposition Technique for Handling Complex Constrained Multi-Objective Optimization Problems

Autoři: Yusuke Yasuda Kenichi Tamura Keiichiro Yasuda

Zdroj: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3281-3286

An Improved Coevolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Autoři: Shumin Xie Zhenjia Zhu Hui Wang

Zdroj: International Journal of Cognitive Informatics and Natural Intelligence. 18:1-16

Algorithm Selection and Landscape Analysis For Constrained Multi-Objective Optimization Problems

Autoři: Alsouly, Hanan

Témata: optimisation, algorithm selection, landscape analysis, evolutionary algorithm, evolutionary computation, constrained multi-objective optimisation, instance space analysis, PhD thesis

URL: https://hdl.handle.net/11343/356677

A Coevolutionary Algorithm based on Constraints Decomposition for Constrained Multi-Objective Optimization Problems

Autoři: Guangpeng Li Li Li Guoyong Cai

Zdroj: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-34 (2025)

Témata: Single-constraint problems, Electronic computers. Computer science, Constrained multi-objective optimization problems, Constraints decomposition, QA75.5-76.95, Coevolutionary framework

Přístupová URL adresa: https://doaj.org/article/aff32ff0e0b4491490bd3d5fbd20df47

A trust-region scheme for constrained multi-objective optimization problems with superlinear convergence property

Autoři: Nantu Kumar Bisui Geetanjali Panda

Zdroj: Optimization Methods and Software. 40:24-64

An Archive-assisted Two-stage and Dual-population Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Autoři: Wenjuan Zhang Huan Ma Wei Zhang a další

Zdroj: 2024 43rd Chinese Control Conference (CCC). :1794-1799

Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems

Autoři: Hanan Alsouly Michael Kirley Mario Andrés Muñoz

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :559-562

An Improved Strength Pareto Evolutionary Algorithm 2 for Constrained Multiobjective Optimization Problems in Continuous Annealing Furnace.

Autoři: Ding, Hongfei Zheng, Qingyuan

Zdroj: Steel Research International. Nov2025, p1. 10p. 4 Illustrations.

Témata: *MULTI-objective optimization, *CONSTRAINED optimization, *THERMODYNAMICS, *INDUSTRIAL capacity, *FURNACES, *ENERGY consumption

Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems

Autoři: Yang Nan Hisao Ishibuchi Lie Meng Pang

Zdroj: Lecture Notes in Computer Science ISBN: 9789819635375

An Adaptive Two-Population Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Autoři: Kaiwen Zhao Peng Wang Xiangrong Tong

Zdroj: IEEE Access, Vol 11, Pp 82118-82131 (2023)

Témata: evolutionary algorithm, objective optimization, multi-state, constraint satisfaction, Electrical engineering. Electronics. Nuclear engineering, Constrained multi-objective optimization, two-population collaboration mechanism, TK1-9971

Přístupová URL adresa: https://doaj.org/article/c65e804cf62b468d892e38fcd0f99d4b