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Updated: Sep 25, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Active Sets for Explicitly Constrained Evolutionary Optimization
Patrick Spettel1, Zehao Ba2, Dirk V Arnold3
1Vorarlberg University of Applied Sciences, Research Center PPE, 6850 Dornbirn, Austria patrick.spettel@aon.at.
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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