Search Results - Epsilon constraint handling method

An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization

Authors: Juan Zou Dunwei Gong Jinlong Zhou et al.

Source: Soft Computing. 25:8051-8062

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dora.dmu.ac.uk/handle/2086/20999
https://dblp.uni-trier.de/db/journals/soco/soco25.html#ZhouZZYGP21
https://link.springer.com/article/10.1007/s00500-021-05880-5

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions

Authors: Wenji Li Zhun Fan Erik D. Goodman et al.

Source: Soft Computing. 23:12491-12510

Subject Terms: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology

Access URL: http://arxiv.org/pdf/1707.08767
http://arxiv.org/abs/1707.08767

An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems

Authors: Zhun Fan Wenji Li Zhaoquan Cai et al.

Source: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). :1-8

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/abstract/document/7850224
http://ieeexplore.ieee.org/document/7850224/
https://dblp.uni-trier.de/db/conf/ssci/ssci2016.html#FanLWLHCC16

An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions

Authors: Fan, Zhun Li, Wenji Cai, Xinye et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1707.08767

An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints

Authors: Zhun Fan Zhi Yang Yajuan Tang et al.

Source: Lecture Notes in Computer Science ISBN: 9783030720612

Access URL: https://rd.springer.com/chapter/10.1007/978-3-030-72062-9_20
https://dblp.uni-trier.de/db/conf/emo/emo2021.html#Fan0TLXWSLZ21
https://link.springer.com/chapter/10.1007/978-3-030-72062-9_20

An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization.

Authors: Zhou, Jinlong Zou, Juan Zheng, Jinhua et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2021, Vol. 25 Issue 13, p8051-8062, 12p

Subject Terms: CONSTRAINED optimization, CONSTRAINT satisfaction, PLANT maintenance, ALGORITHMS

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions.

Authors: Fan, Zhun Li, Wenji Cai, Xinye et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Dec2019, Vol. 23 Issue 23, p12491-12510, 20p

Subject Terms: CONSTRAINED optimization, TEST interpretation

Combined fitness–violation epsilon constraint handling for differential evolution.

Authors: Stanovov, Vladimir Akhmedova, Shakhnaz Semenkin, Eugene

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; May2020, Vol. 24 Issue 10, p7063-7079, 17p

Subject Terms: DIFFERENTIAL evolution, EVOLUTIONARY computation, SET functions, CONSTRAINED optimization

A Weighted and Epsilon-Constraint Biased-Randomized Algorithm for the Biobjective TOP with Prioritized Nodes.

Authors: Agud-Albesa, Lucia Garrido, Neus Juan, Angel A. et al.

Source: Computation; Apr2024, Vol. 12 Issue 4, p84, 20p

Subject Terms: ORIENTEERING, ALGORITHMS, CONSUMERS, ORIENTEERS, DECISION making

Evolutionary optimization using epsilon method for resource-constrained multi-robotic disassembly line balancing.

Authors: Fang, Yilin Xu, Hongliang Liu, Quan et al.

Source: Journal of Manufacturing Systems. Jul2020, Vol. 56, p392-413. 22p.

Subject Terms: *MATHEMATICAL models, *ALGORITHMS, METAHEURISTIC algorithms, ROBOT programming, EVOLUTIONARY algorithms

A Decomposition-based Evolutionary Multi-objective Optimization Method for Solving Constrained Optimization Problems with Imbalanced Objectives or Constraints

Authors: Zhun Fan Liu Wang Zhaojun Wang et al.

Comparison of metaheuristic optimization algorithms with a new modified deb feasibility constraint handling technique.

Authors: ÇİMEN, Murat Erhan GARIP, Zeynep BOZ, Ali Fuat

Source: Turkish Journal of Electrical Engineering & Computer Sciences; 2021, Vol. 29 Issue 7, p3270-3289, 20p

Subject Terms: MATHEMATICAL optimization, METAHEURISTIC algorithms, PROBLEM solving, PARTICLE swarm optimization, CONSTRAINED optimization, SPEED reducers, PRESSURE vessels

Spherical search with epsilon constraint and gradient-based repair framework for constrained optimization.

Authors: Yang, Zhuji Kumar, Abhishek Mallipeddi, Rammohan et al.

Source: Swarm & Evolutionary Computation. Oct2023, Vol. 82, pN.PAG-N.PAG. 1p.

Subject Terms: Constrained optimization, Evolutionary computation, Computational complexity

On Estimating the Feasible Solution Space of Multi-objective Testing Resource Allocation.

Authors: Zhang, Guofu Li, Lei Su, Zhaopin et al.

Source: ACM Transactions on Software Engineering & Methodology; Jul2024, Vol. 33 Issue 6, p1-41, 41p

Subject Terms: RESOURCE allocation, SOFTWARE reliability, SCHEDULING

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio.

Authors: Yang, Yongkuan Liu, Jianchang Tan, Shubin et al.

Source: Applied Soft Computing. Jul2019, Vol. 80, p42-56. 15p.

Subject Terms: Multi-objective optimization, Evolutionary algorithms, Constrained optimization, Problem solving, Search engines, Differential evolution

Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms.

Authors: Biswas, Partha P. Suganthan, P. N. Mallipeddi, R. et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2020, Vol. 24 Issue 4, p2999-3023, 25p

Subject Terms: CONSTRAINED optimization, TEST systems, INTERIOR-point methods, EVOLUTIONARY algorithms

Company/Entity: INSTITUTE of Electrical & Electronics Engineers

Constrained Optimization Based on Ensemble Differential Evolution and Two-Level-Based Epsilon Method

Authors: Bin Xu Zonghao Zhang

Source: IEEE Access, Vol 8, Pp 213981-213997 (2020)

Subject Terms: Evolutionary algorithms, differential evolution, constrained optimization, ensemble, twolevel-based comparison, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9272363/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/a6ced5949583456cb1b5a46edeab2577

Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization.

Authors: Zhang, Jianlin Cao, Jie Zhao, Fuqing et al.

Source: Memetic Computing; Jun2024, Vol. 16 Issue 2, p115-137, 23p

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

Authors: Liu, Tianyu Wu, Yu Xu, He

Source: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-29, 29p

Water Networks Management: Assessment of Heuristic and Exact Approaches for Optimal Valve Location and Operation Settings Schedule.

Authors: Cunha, Maria Marques, João Creaco, Enrico

Source: Water (20734441); Nov2025, Vol. 17 Issue 22, p3249, 32p

Subject Terms: MATHEMATICAL optimization, SIMULATED annealing, ENVIRONMENTAL infrastructure, LEAKAGE, MIXED integer linear programming, OPERATIONS management, DISASTER resilience