Search Results - Constrained multi-objective evolutionary algorithms

Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization

Authors: Lupeng Hao Weihang Peng Junhua Liu et al.

Source: Mathematics and Computers in Simulation. 230:207-226

Subject Terms: constrained multi-objective evolutionary algorithms, Biology and other natural sciences, three-criteria ranking, competitive, Operations research, mathematical programming, two-stage

File Description: application/xml

Access URL: https://zbmath.org/8031638
https://doi.org/10.1016/j.matcom.2024.11.009

Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms

Authors: Jinglin Wang Hongyu Zhu Yang Nan et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :443-446

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition

Authors: Farias, Lucas R. C. Araújo, Aluizio F. R.

Source: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3727-3732

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2410.19203

Multi-Objective Security Constrained Unit Commitment via Hybrid Evolutionary Algorithms

Authors: Aamir Ali Arslan Shah Muhammad Usman Keerio et al.

Source: IEEE Access, Vol 12, Pp 6698-6718 (2024)

Subject Terms: constraint handling techniques, multi-objective optimization, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Security constrained unit commitment, optimal power flow, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, evolutionary algorithms, 7. Clean energy, TK1-9971

Access URL: https://doaj.org/article/8ef9dc26107243858be86ef76c31ef1f

A Constrained Multi-Objective Evolutionary Algorithm with Weak Constraint–Pareto Dominance and Angle Distance-Based Diversity Preservation.

Authors: Guo, Jinhao Shan, Yahui

Source: Mathematics (2227-7390). Nov2025, Vol. 13 Issue 22, p3696. 28p.

Subject Terms: *MULTI-objective optimization, *OPTIMIZATION algorithms, *MATHEMATICAL optimization

Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem

Authors: Kokila Kasuni Perera Aneta Neumann

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :223-231

Subject Terms: FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2404.08219

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

Authors: Chenli Shi Ziqi Wang Xiaohang Jin et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/1709900070624220b9cc8feaf3cf8e07

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

Authors: Kaiwen Zhao Peng Wang Xiangrong Tong

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

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

Access URL: https://doaj.org/article/c65e804cf62b468d892e38fcd0f99d4b

Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization

Authors: Junming Chen Yanxiu Wang Zichun Shao et al.

Source: Mathematics, Vol 13, Iss 9, p 1441 (2025)

Subject Terms: evolutionary algorithm, QA1-939, constrained multi-objective optimization, dual population, cooperative correlation, Mathematics

Access URL: https://doaj.org/article/20ba80d1c7204125819db2d117554b6b

Evolutionary Multi-Objective Optimization for Maritime Tourism Resource Allocation: A Maritime Tourism Case Study Comparing Custom GA and NSGA-II Implementations

Authors: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Contributors: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Subject Terms: maritime tourism, resource allocation, genetic algorithms, NSGA-II, multi-objective optimization, single-objective optimization, evolutionary algorithms, metaheuristics, combinatorial optimization, constraint satisfaction, multi-skilled resource-constrained project scheduling, Design Science Research Methodology, comparative analysis, statistical validation, operations research, scheduling optimization, Pareto optimization, weighted sum aggregation, domain-specific genetic operators, constraint handling, tour planning, guide assignment, vessel allocation, skipper scheduling, tourism operations, service optimization, operational efficiency, revenue optimization, real-world optimization, empirical evaluation, performance comparison, computational efficiency, solution quality, feasibility analysis, crowding distance, diversity maintenance, population-based optimization, stochastic optimization, optimization algorithms, resource utilization, capacity constraints, language compatibility, multilingual services, operational research, applied optimization, algorithmic comparison, strategic planning, emergency response, decision support systems, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 14 - Life below water, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

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Availability: http://hdl.handle.net/10362/190414

An Adaptive Constrained Multi-Objective Evolutionary Algorithm Based on Co-Evolutionary

Authors: HAN Meihui, WANG Peng, LI Ruixu, LIU Zhongyao

Source: Jisuanji gongcheng, Vol 50, Iss 6, Pp 124-137 (2024)

Subject Terms: co-evolutionary algorithm, constrained multi-objective optimization(cmop), dual reproduction, dynamic fitness distribution function, infeasible solutions, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20240611.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/e4df8d87ce97487ab10b27f2cdb09175

Two-Stage Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization

Authors: Kai Zhang Siyuan Zhao Hui Zeng et al.

Source: Mathematics, Vol 13, Iss 3, p 470 (2025)

Subject Terms: evolutionary algorithm, archive, QA1-939, constrained multi-objective optimization, two-stage, Mathematics

Access URL: https://doaj.org/article/d47ae25398584ee4b718bdda5c3aa7f7

A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling

Authors: Jue Zhang Haifeng Yue Yongpeng Wang et al.

Source: Frontiers in Mechanical Engineering, Vol 11 (2025)

Subject Terms: evolutionary computation, TJ1-1570, multi-obj ective optimization problems, co-evolutionary algorithms, Mechanical engineering and machinery, constrained optimization, sequence optimization

Access URL: https://doaj.org/article/441730dc571e4cc8ac4e34f209c316f2

A Multi‐Objective Evolutionary Algorithm Based on Bilayered Decomposition for Constrained Multi‐Objective Optimization.

Authors: Yasuda, Yusuke Kumagai, Wataru Tamura, Kenichi et al.

Source: IEEJ Transactions on Electrical & Electronic Engineering. Feb2025, Vol. 20 Issue 2, p244-262. 19p.

Subject Terms: *EVOLUTIONARY computation, *CONSTRAINED optimization, *METAHEURISTIC algorithms, *ELECTRICAL engineers, *ALGORITHMS, *EVOLUTIONARY algorithms, *BILEVEL programming

Multi-objective evolutionary algorithms for single-objective constrained optimisation

Authors: Xu, Tao He, Jun Shang, Changjing

Contributors: Xu, Tao He, Jun Shang, Changjing

Subject Terms: 006.3, constrained optimization, multi-objective optimization, differential evolution

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.837511

An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multi-objective Optimization

Authors: Xiaoyu Zhong Xiangjuan Yao Kangjia Qiao et al.

Source: IEEE Transactions on Evolutionary Computation. :1-1

Subject Terms: differential evolution, large-scale, indicator, variable grouping, Constrained multi-objective optimization

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Authors: Frank Neumann Carsten Witt

Source: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. :4800-4806

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), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Access URL: https://pubmed.ncbi.nlm.nih.gov/39101892
http://arxiv.org/abs/2109.05799

A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges

Authors: Gang Huang Min Hu Xueying Yang et al.

Source: Drones, Vol 8, Iss 7, p 316 (2024)

Subject Terms: constraint handling techniques, constrained multi-objective evolutionary algorithms, 0202 electrical engineering, electronic engineering, information engineering, TL1-4050, 02 engineering and technology, conflicting objectives, UAV mission planning, Motor vehicles. Aeronautics. Astronautics

Access URL: https://doaj.org/article/8beb2604ce2440379e27fc18b7af9acf

ALMO: Active Learning-Based Multi-Objective Optimization for Accelerating Constrained Evolutionary Algorithms

Authors: Karanpreet Singh Rakesh K. Kapania

Source: Applied Sciences, Vol 14, Iss 21, p 9975 (2024)

Subject Terms: Technology, multi-disciplinary optimization, QH301-705.5, Physics, QC1-999, Engineering (General). Civil engineering (General), Chemistry, optimal experimental design, machine learning, multi-objective optimization, active learning, evolutionary algorithms, TA1-2040, Biology (General), optimization, QD1-999, query learning

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Access URL: https://doaj.org/article/791dc1846d9d4e4eba2a03342d1b5bb7
https://hdl.handle.net/10919/121580
https://doi.org/10.3390/app14219975

Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm

Authors: Aamir Ali Ghulam Abbas Muhammad Usman Keerio et al.

Source: IET Generation, Transmission & Distribution, Vol 17, Iss 1, Pp 66-90 (2023)

Subject Terms: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, Distribution or transmission of electric power, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TK3001-3521, 02 engineering and technology, 7. Clean energy

Access URL: https://doaj.org/article/83557a13b5cb4650a611c4e4f39ab13a