Introduces ABP algorithm for constrained CPFL with convergence proofs and EFHV metric, demonstrating superior feasibility in experiments.
Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels
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A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
Introduces ABP algorithm for constrained CPFL with convergence proofs and EFHV metric, demonstrating superior feasibility in experiments.