Suchergebnisse - constrained multi-objective optimisation ((problem* OR problemy*) OR problems*)~

A study on SAT constrained problems and large-scale binary multi-objective optimization (充足可能性制約付き問題と大規模バイナリ多目的最適化に関する研究)

Autoren: HONJO, IDE FELIPE

Dateibeschreibung: application/pdf

Zugangs-URL: https://ndlsearch.ndl.go.jp/books/R100000039-I14437083

Degree: 博士（工学） -- 信州大学, Shinshu University

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

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

Autoren: Felipe Honjo Ide Hernan Aguirre Kiyoshi Tanaka

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

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

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

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

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

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 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

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

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

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

Autoren: Ding, Hongfei Zheng, Qingyuan

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

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

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

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

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

Autoren: Yang Nan Hisao Ishibuchi Lie Meng Pang

Quelle: Lecture Notes in Computer Science ISBN: 9789819635375