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Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization
Constrained multi-objective problems are difficult for researchers to solve because they contain infeasible regions. To address this issue, this paper proposes two cooperative constraint handling techniques th...
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A large-scale multi-objective evolutionary algorithm based on importance rankings and information feedback
For large-scale multi-objective optimization problems, the trade-off between convergence and diversity brings significant challenges for researchers. Most of the reproduction operators in the evolutionary algo...
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A Grou** Cooperative Differential Evolution Algorithm for Solving Partially Separable Complex Optimization Problems
Differential evolution (DE) is a widely accepted optimization algorithm inspired by the mechanisms of biological evolution for complex optimization problems. In this paper, we put forward a co-evolutionary dif...
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A Pareto front estimation-based constrained multi-objective evolutionary algorithm
The balance of convergence, diversity, and feasibility plays a pivotal role in constrained multi-objective optimization problems. To address this issue, in this paper a novel method named PeCMOEA is proposed, ...
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A constrained multi-objective optimization algorithm with two cooperative populations
Constrained multi-objective problems (CMOPs) require balancing convergence, diversity, and feasibility of solutions. Unfortunately, the existing constrained multi-objective optimization algorithms (CMOEAs) exh...
