Search Results - constrained multi-objective optimization problem

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

Authors: Kangjia Qiao Jing Liang Kunjie Yu et al.

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

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

File Description: application/pdf

Access URL: https://hdl.handle.net/10576/62256

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

Authors: Da Feng Jianchang Liu

Source: Mathematics, Vol 13, Iss 11, p 1851 (2025)

Subject Terms: mating selection, environmental selection, QA1-939, constrained multimodal multi-objective optimization problem, evolutionary multitasking, Mathematics

Access URL: https://doaj.org/article/1cea2834e8214b3bb0628c3edac92860

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

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

Source: Lecture Notes in Computer Science ISBN: 9789819635375

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

Authors: Patil, Tejaswini Mane, S. U.

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

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

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

Authors: Chaoqun Li Yang Liu Yao Zhang et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/6bc44c31bfae45639408659a812710fa

An NSGA-III-HOP Algorithm for Solving the Cardinality-Constrained Multi-Period PO Problem Using Wavelet CVaR.

Authors: Huynh, Phuc Tan^1,2 (AUTHOR) htphuc.cs@gmail.com

Source: Asia-Pacific Journal of Operational Research. Nov2025, p1. 29p.

Subject Terms: *PORTFOLIO management (Investments), *INVESTMENT risk, *FINANCIAL engineering, *INVESTMENT policy, *RISK management in business, MULTI-objective optimization, EVOLUTIONARY algorithms

Nonlinear fuzzy chance constrained approach for multi-objective mixed fuzzy-stochastic optimization problem

Authors: Ajeet kumar Babita Mishra

Source: OPSEARCH. 61:121-136

A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem

Authors: Meriem Hemici Djaafar Zouache

Source: Artificial Intelligence Review. 56:3299-3340

A coevolutionary response framework for dynamic constrained multi-objective optimization problems

Authors: Bao, Qian Wang, Maocai Yang, Shengxiang et al.

Subject Terms: Dynamic constrained multi-objective optimization, Cooperative response optimization, Dual population

File Description: application/pdf

Relation: https://hdl.handle.net/2086/25286; https://doi.org/10.1109/TEVC.2025.3595410

Availability: https://hdl.handle.net/2086/25286
https://doi.org/10.1109/TEVC.2025.3595410

Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem

Authors: Zhao, Hong Chen, Zong-Gan Zhan, Zhi-Hui et al.

Source: Neurocomputing. 430:58-70

Subject Terms: computing, algorithm, 4602 Artificial intelligence, optimisation, Institute for Sustainable Industries and Liveable Cities, financial market, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, artificial intelligence, particle swarm optimisation

Access URL: https://scholars.cityu.edu.hk/en/publications/multiple-populations-coevolutionary-particle-swarm-optimization-for-multiobjective-cardinality-constrained-portfolio-optimization-problem(6a4296c0-f08a-4bf8-a9cf-ce5df2460126).html
https://www.sciencedirect.com/science/article/abs/pii/S0925231220319226
https://dblp.uni-trier.de/db/journals/ijon/ijon430.html#ZhaoCZKZ21
https://doi.org/10.1016/j.neucom.2020.12.022
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202102268526654835

A sequential quadratically constrained quadratic programming technique for a multi-objective optimization problem

Authors: Abu Talhamainuddin Ansary Geetanjali Panda

Source: Engineering Optimization. 51:22-41

Subject Terms: Artificial neural network, Quadratic Programming, Quadratically constrained quadratic program, Economics, 0211 other engineering and technologies, Geometry, Penalty method, Quadratic growth, 02 engineering and technology, Quadratic programming, Quantum mechanics, Mathematical analysis, Multi-Objective Transportation Problem Optimization, Engineering, Differentiable function, Nonlinear programming, Computer security, Machine learning, FOS: Mathematics, Constraint (computer-aided design), Optimization problem, Constrained optimization, Economic growth, Scheme (mathematics), Numerical Analysis, Gradient descent, Numerical Optimization Techniques, RADIUS, Multi-Objective Optimization, Physics, Mathematical optimization, Sequential quadratic programming, Quadratic equation, Computer science, Algorithm, Line search, Active set method, Computational Theory and Mathematics, Control and Systems Engineering, Computer Science, Physical Sciences, Convergence (economics), Descent direction, Nonlinear system, Linear Fractional Programming, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Mixed-Integer Nonlinear Programs

Access URL: https://core.ac.uk/display/153735052
http://ui.adsabs.harvard.edu/abs/2019EnOp...51...22A/abstract
https://www.tandfonline.com/doi/full/10.1080/0305215X.2018.1437154

Implementation and Validation of NSGA-II Algorithm for Constrained and Unconstrained Multi-Objective Optimization Problem

Authors: Adithya B Uday Nivedita Naik Madhu G M et al.

Source: 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET). :539-544

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems

Authors: Juan Zou Jinhua Zheng Ruiqing Sun et al.

Source: Information Sciences. 579:89-102

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

Access URL: https://www.sciencedirect.com/science/article/pii/S0020025521007684
https://dblp.uni-trier.de/db/journals/isci/isci579.html#ZouSYZ21
https://dora.dmu.ac.uk/handle/2086/21156

Decision space dynamic niching-based method for constrained multiobjective evolutionary optimization.

Authors: Yu, Fan Chen, Qun Zhou, Jinlong

Source: European Journal of Operational Research. Jan2026, Vol. 328 Issue 2, p574-590. 17p.

Subject Terms: *PARETO optimum, *MATHEMATICAL optimization, MULTI-objective optimization, CONSTRAINED optimization, HETEROGENEITY, EVOLUTIONARY algorithms

A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm

Authors: Xiaodi Zhang Fan Xu Ruoli Tang et al.

Source: Applied Intelligence. 51:8212-8229

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

Access URL: https://dblp.uni-trier.de/db/journals/apin/apin51.html#LiAZXTDZLM21
https://link.springer.com/article/10.1007/s10489-020-02174-5
https://doi.org/10.1007/s10489-020-02174-5

A multi-objective multi-agent optimization algorithm for the multi-skill resource-constrained project scheduling problem with transfer times

Authors: Amir Hossein Hosseinian Vahid Baradaran

Source: RAIRO - Operations Research. 55:2093-2128

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology

Access URL: https://www.rairo-ro.org/articles/ro/pdf/2021/05/ro200418.pdf
https://dblp.uni-trier.de/db/journals/rairo/rairo55.html#HosseinianB21
https://www.rairo-ro.org/articles/ro/pdf/2021/05/ro200418.pdf
https://www.rairo-ro.org/articles/ro/abs/2021/05/ro200418/ro200418.html

Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems

Authors: Rahimi, I Gandomi, AH Nikoo, MR et al.

Index Terms: Conference Proceeding

URL: http://hdl.handle.net/10453/173272
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Lecture Notes in Computer Science
10.1007/978-3-031-30229-9_7

Constrained multi-objective optimization assisted by competitive mechanism based reward auxiliary optimization problems.

Authors: Zhang, Haoming Dang, Qianlong Feng, Xinyu et al.

Source: Swarm & Evolutionary Computation. Aug2025, Vol. 97, pN.PAG-N.PAG. 1p.

Subject Terms: Multi-objective optimization, Optimization algorithms, Constrained optimization, Evolutionary algorithms, Probability theory

Efficient implicit constraint handling approaches for constrained optimization problems

Authors: Iman Rahimi Amir H. Gandomi Mohammad Reza Nikoo et al.

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)

Subject Terms: Constraint handling, Multi-objective optimization, Evolutionary algorithm, Boundary updating, Switching point, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/e6894bc5af84491eb507e9ba93b2b863

A multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging

Authors: Mengzheng Lv Jianzhou Wang Shuai Wang et al.

Source: Energy Conversion and Management. 319:118909