A multi-objective evolutionary algorithm with probability selection mechanism for solving constrained multi-objective optimization problems

Qian Shi

doi:10.1016/j.asoc.2026.115791

A multi-objective evolutionary algorithm with probability selection mechanism for solving constrained multi-objective optimization problems

2026-06-18

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DOI：10.1016/j.asoc.2026.115791

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• Bayesian posterior inference guides dynamic evolutionary operator selection. • Semi-normal probability screening balances convergence and diversity. • New evaluation metric identifies high-quality infeasible solutions.

A multi-objective evolutionary algorithm with probability selection mechanism for solving constrained multi-objective optimization problems

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