Suchergebnisse - "Constrained Multi-Objective Optimization Problems"

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

Autoren: Wulin Cai Zhaojun Wang Jiachun Huang et al.

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

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

Autoren: Lijun Li Huaqiang Xu Zhen Xu et al.

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

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

Autoren: Guangpeng Li Li Li Guoyong Cai

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/aff32ff0e0b4491490bd3d5fbd20df47

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

Autoren: Xuanxuan Ban Jing Liang Kangjia Qiao et al.

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

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

Autoren: Tianyu Liu Yu Wu He Xu

Quelle: Memetic Computing. 17

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

Autoren: Anurag Singh Md Abu Talhamainuddin Ansary

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

Autoren: Chenli Shi Ziqi Wang Xiaohang Jin et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/1709900070624220b9cc8feaf3cf8e07

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

Autoren: Yusuke Yasuda Kenichi Tamura Keiichiro Yasuda

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

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

Autoren: Kangjia Qiao Jing Liang Kunjie Yu et al.

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

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

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10576/62256

An Improved Coevolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Autoren: Shumin Xie Zhenjia Zhu Hui Wang

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

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

Autoren: Nantu Kumar Bisui Geetanjali Panda

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

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

Autoren: Wenjuan Zhang Huan Ma Wei Zhang et al.

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

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

Autoren: Hanan Alsouly Michael Kirley Mario Andrés Muñoz

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

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

Autoren: Guangpeng Li Li Li Guoyong Cai

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

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

Zugangs-URL: https://doaj.org/article/aff32ff0e0b4491490bd3d5fbd20df47

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

Autoren: Alsouly, Hanan

Index Begriffe: 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

An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems

Autoren: Lei Yang Jinglin Tian Jiale Cao et al.

Quelle: 2024 IEEE Congress on Evolutionary Computation (CEC). :1-8

A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems

Autoren: Miao Chen Shijie Zhao Tianran Zhang et al.

Quelle: Engineering Applications of Artificial Intelligence. 158:111419

A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems

Autoren: Yongkuan Yang Bing Yan Xiangsong Kong

Quelle: Evolutionary Intelligence. 17:2791-2806

A Cooperative Evolutionary Algorithm for Solving Constrained Multi-Objective Optimization Problems Based on Multi-Population Partition Assistance

Quelle: Operations Research and Fuzziology. 14:883-892

A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems

Autoren: Wenji Li Ruitao Mai Pengxiang Ren et al.

Quelle: 2023 IEEE Congress on Evolutionary Computation (CEC). :1-7