Search Results - "dynamic constrained multiobjective evolutionary algorithm"
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Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking
ISSN: 1089-778X, 1941-0026Published: IEEE 2025Published in IEEE transactions on evolutionary computation (2025)“… To tackle these challenges, this paper proposes a dynamic constrained multiobjective evolutionary algorithm based on multipopulation prediction and dynamic fusion ranking…”
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A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm
ISSN: 2471-285X, 2471-285XPublished: Piscataway IEEE 01.04.2024Published in IEEE transactions on emerging topics in computational intelligence (01.04.2024)“… To address this issue, a subspace-knowledge transfer based dynamic constrained multiobjective evolutionary algorithm is proposed in this article, termed SKTEA…”
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A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification
ISSN: 2210-6502Published: 01.12.2023Published in Swarm and evolutionary computation (01.12.2023)Get full text
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Antenna design using dynamic multi-objective evolutionary algorithm
ISSN: 1751-8725, 1751-8733Published: The Institution of Engineering and Technology 31.10.2018Published in IET microwaves, antennas & propagation (31.10.2018)“…To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained…”
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A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization
ISSN: 2168-2267, 2168-2275, 2168-2275Published: United States IEEE 01.09.2017Published 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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Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization
ISSN: 2210-6502Published: Elsevier B.V 01.12.2025Published in Swarm and evolutionary computation (01.12.2025)“… To address these problems, this paper proposes a dynamic constrained multiobjective evolutionary algorithm with feasibility-guided search and prediction (called FGSP…”
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Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm
ISSN: 1089-778X, 1941-0026Published: IEEE 01.10.2024Published in IEEE transactions on evolutionary computation (01.10.2024)“…Dynamic constrained multiobjective optimization problems (DCMOPs) abound in real-world applications and gain increasing attention in the evolutionary…”
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On Formulating and Designing Antenna Arrays by Evolutionary Algorithms
ISSN: 0018-926X, 1558-2221Published: New York IEEE 01.02.2021Published in IEEE transactions on antennas and propagation (01.02.2021)“…The design of antenna arrays is usually imposed with lots of requirements. The design can be modeled as different kinds of optimization problems, such as…”
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Enhancing UAV Safety in Smart City Environments: A Dynamic Constrained Multi-Objective Evolutionary Algorithm
Published: IEEE 10.08.2025Published in 2025 IEEE/CIC International Conference on Communications in China (ICCC) (10.08.2025)“…The integration of Unmanned Aerial Vehicles (UAVs) as mobile edge computing nodes has become increasingly crucial in smart city environments, where they…”
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Conference Proceeding -
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A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization
ISSN: 1089-778X, 1941-0026Published: IEEE 01.10.2025Published in IEEE transactions on evolutionary computation (01.10.2025)“… The existing dynamic constrained multiobjective evolutionary algorithms (DCMOEAs) normally focus on the convergence speed, but cannot well guarantee distribution…”
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A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization
ISSN: 1089-778X, 1941-0026Published: IEEE 01.08.2025Published in IEEE transactions on evolutionary computation (01.08.2025)“…) as the optimizer aiming at balancing exploration and convergence. The proposed method is compared with the four popular dynamic constrained multiobjective evolutionary algorithms (DCMOEAs…”
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