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

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

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

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

Autoren: Tianyu Liu Yu Wu He Xu

Quelle: Memetic Computing. 17

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

Autoren: Anurag Singh Md Abu Talhamainuddin Ansary

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

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 Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems.

Autoren: Feng, Da Liu, Jianchang

Quelle: Mathematics (2227-7390). Jun2025, Vol. 13 Issue 11, p1851. 33p.

Schlagwörter: *MULTI-objective optimization, *MATE selection, *ALGORITHMS

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

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

On the Approximation of the Entire Pareto Front of a Constrained Multi-objective Optimization Problem

Autoren: Angel E. Rodriguez-Fernandez Carlos Ignacio Hernández Castellanos Oliver Schütze

Quelle: Lecture Notes in Computer Science ISBN: 9789819635375

Multi-Objective Hybrid Approach for Solving the Multi-Objective Constrained Electric Vehicle Routing Problem.

Autoren: Patil, Tejaswini Mane, S. U.

Quelle: International Journal of Performability Engineering. Jul2025, Vol. 21 Issue 7, p372-381. 10p.

Schlagwörter: Multi-objective optimization, Vehicle routing problem, Swarm intelligence, Operating costs, Energy storage, Electric vehicle charging stations, Energy consumption

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

Autoren: Alp, Sait Dehkharghani, Rahim Akan, Taymaz

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

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

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 population-oriented hybrid search surrogate-assisted evolutionary algorithm for expensive constrained optimization multi-objective problems with small feasible regions

Autoren: Cong Zhu Yongkuan Yang Xiangsong Kong et al.

Quelle: Swarm and Evolutionary Computation. 99:102161

A novel multi-level population hybrid search evolution algorithm for constrained multi-objective optimization problems

Autoren: Chaoqun Li Yang Liu Yao Zhang et al.

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9071-9087 (2022)

Schlagwörter: Multi-level hybrid search, 0209 industrial biotechnology, Evolutionary algorithm, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Population fusion degree, Detection reset strategy, Constrained multi-objective optimization

Zugangs-URL: https://doaj.org/article/6bc44c31bfae45639408659a812710fa