Active Sets for Explicitly Constrained Evolutionary Optimization.

Patrick Spettel, Zehao Ba,Dirk V. Arnold

Evolutionary Computation（2022）CCF BSCI 4区SCI 3区

Vorarlberg Univ Appl Sci | Dalhousie Univ

Cited 2|Views13

Abstract

Active-set approaches are commonly used in algorithms for constrained numerical optimization. We propose that active-set techniques can beneficially be employed for evolutionary black-box optimization with explicit constraints and present an active-set evolution strategy. We experimentally evaluate its performance relative to those of several algorithms for constrained optimization and find that the active-set evolution strategy compares favourably for the problem set under consideration.

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Key words

Black-box optimization,constraint handling,evolution strategies,active-set techniques

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