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Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution
ISSN: 2168-2216, 2168-2232Veröffentlicht: New York IEEE 01.05.2022Veröffentlicht in IEEE transactions on systems, man, and cybernetics. Systems (01.05.2022)“… In this article, we propose a dynamic selection preference-assisted constrained multiobjective differential evolutionary (DE) algorithm …”
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Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments
ISSN: 1089-778X, 1941-0026Veröffentlicht: New York IEEE 01.06.2024Veröffentlicht in IEEE transactions on evolutionary computation (01.06.2024)“… To solve these problems, we propose a multipopulation evolution-based dynamic constrained multiobjective optimization algorithm …”
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Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.08.2022Veröffentlicht in Swarm and evolutionary computation (01.08.2022)“… The core task of constrained multiobjective optimization is to achieve a tradeoff between exploration and exploitation as well as a tradeoff between constraints and objectives …”
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A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization
ISSN: 2168-2267, 2168-2275, 2168-2275Veröffentlicht: United States IEEE 01.09.2017Veröffentlicht in IEEE transactions on cybernetics (01.09.2017)“… ) a method of gradually reducing the niche size aims to handle the multimodal difficulty. A general framework of the design of dynamic constrained multiobjective evolutionary algorithms is proposed for solving DCMOPs …”
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A dual-population co-evolution algorithm with balanced environmental selection for constrained multimodal multiobjective optimization problems
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.04.2025Veröffentlicht in Swarm and evolutionary computation (01.04.2025)“… Additionally, the BES component proposed in this paper enhances the algorithm’s overall performance by utilizing the dynamic-range-based constrained dominance principle …”
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Solving Multiobjective Constrained Trajectory Optimization Problem by an Extended Evolutionary Algorithm
ISSN: 2168-2267, 2168-2275, 2168-2275Veröffentlicht: United States IEEE 01.04.2020Veröffentlicht in IEEE transactions on cybernetics (01.04.2020)“… To address the multiobjective trajectory planning problem, this paper applies a specific multiple-shooting discretization technique with the newest NSGA-III optimization algorithm and constructs …”
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History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization
ISSN: 1089-778X, 1941-0026Veröffentlicht: IEEE 2024Veröffentlicht in IEEE transactions on evolutionary computation (2024)“… Dynamic constrained multiobjective optimization problems (DCMOPs) are widely encountered in real-world applications and have attracted increasing attention in the evolutionary computation community …”
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Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions
ISSN: 2471-285X, 2471-285XVeröffentlicht: Piscataway IEEE 01.04.2025Veröffentlicht in IEEE transactions on emerging topics in computational intelligence (01.04.2025)“… To address these problems, we design a dynamic constrained multiobjective optimization algorithm based on dual-population evolution …”
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Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.08.2024Veröffentlicht in Swarm and evolutionary computation (01.08.2024)“… To address these challenges, this paper proposes a dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement (CEDE …”
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An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.06.2025Veröffentlicht in Swarm and evolutionary computation (01.06.2025)“… Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs …”
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Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power
ISSN: 0360-5442, 1873-6785Veröffentlicht: Oxford Elsevier Ltd 01.05.2018Veröffentlicht in Energy (Oxford) (01.05.2018)“… However, most common forms of renewable sources are intermittent and uncertain. This paper proposes multiobjective economic emission power dispatch problem formulation …”
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A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization
ISSN: 1089-778X, 1941-0026Veröffentlicht: New York, NY IEEE 01.12.2006Veröffentlicht in IEEE transactions on evolutionary computation (01.12.2006)“… Then, a novel EA for constrained optimization is presented. In the process of population evolution, our algorithm is based on multiobjective optimization techniques, i.e …”
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A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application
ISSN: 2168-2267, 2168-2275, 2168-2275Veröffentlicht: United States IEEE 01.05.2025Veröffentlicht in IEEE transactions on cybernetics (01.05.2025)“… Large-scale constrained multiobjective optimization problems (LSCMOPs) exist widely in science and technology …”
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Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart
ISSN: 0142-0615, 1879-3517Veröffentlicht: Oxford Elsevier Ltd 01.07.2013Veröffentlicht in International journal of electrical power & energy systems (01.07.2013)“… ► The dynamic environmental economic dispatch (DEED) model is presented. ► Two operators are proposed to strengthen global search ability of differential evolution …”
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Elliptical Slot Microstrip Patch Antenna Design Based on a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm
ISSN: 1557-3958, 1557-3966Veröffentlicht: Hershey IGI Global 01.10.2021Veröffentlicht in International journal of cognitive informatics & natural intelligence (01.10.2021)“… ). To address the problem, a Dynamic Constrained Multiobjective Optimization Evolutionary Algorithm …”
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Competitive Multitasking for Computational Resource Allocation in Evolutionary-Constrained Multiobjective Optimization
ISSN: 1089-778X, 1941-0026Veröffentlicht: IEEE 01.06.2025Veröffentlicht in IEEE transactions on evolutionary computation (01.06.2025)“… Existing multitasking-based constrained multiobjective optimization evolutionary algorithms assist the evolution of the original problem by adopting auxiliary tasks …”
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A Multiobjective Optimization Algorithm for Fluid Catalytic Cracking Process with Constraints and Dynamic Environments
ISSN: 2227-7390, 2227-7390Veröffentlicht: Basel MDPI AG 01.07.2024Veröffentlicht in Mathematics (Basel) (01.07.2024)“… To solve these problems, we established a mathematical model and proposed a dynamic constrained multiobjective optimization evolution algorithm for the fluid catalytic cracking process …”
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Antenna design using dynamic multi-objective evolutionary algorithm
ISSN: 1751-8725, 1751-8733Veröffentlicht: The Institution of Engineering and Technology 31.10.2018Veröffentlicht in IET microwaves, antennas & propagation (31.10.2018)“… ). A dynamic constrained multi-objective evolutionary algorithm is applied to address the transformed DCMOP, which means the COP as well as the antenna design problem can be solved …”
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Spatiotemporal Knowledge-Driven Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization
Veröffentlicht: IEEE 19.08.2025Veröffentlicht in 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS) (19.08.2025)“… Dynamic constrained multiobjective optimization problems (DCMOPs) present significant challenges due to timevarying objectives and constraints …”
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Multiobjective Investment Policy for a Nonlinear Stochastic Financial System: A Fuzzy Approach
ISSN: 1063-6706, 1941-0034Veröffentlicht: IEEE 01.04.2017Veröffentlicht in IEEE transactions on fuzzy systems (01.04.2017)“… Most investors expect their investment policies to be not only higher benefits but also lower risk as a multiobjective optimization problem (MOP …”
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