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A dual-population evolutionary algorithm with variable constraint guidance for constrained multi-objective optimization problems
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DOI：10.1016/j.asoc.2025.114518.png)
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Abstract
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• A constrained multi-objective optimization algorithm (VCGDPEA) is proposed. • Rational use of infeasible solutions improves the performance of VCGDPEA. • The performance of VCGDPEA is validated on several benchmark functions.