#6424. A merit function approach for evolution strategies

November 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3510 $

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Journal’s subject area:
Computational Mathematics;
Control and Optimization;
Modeling and Simulation;
Management Science and Operations Research;
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Abstract:
The study is devoted to the consideration of classes of globally converging evolutionary strategies for solving general optimization problems with constraints. The considered constraints that can be relaxed during optimization are removed by the evaluation function and, if necessary, by the recovery procedure. The proposed approach includes a recovery procedure, which is introduced whenever a decrease in the constraint violation function is achieved, while the objective function is significantly increased. The result obtained makes it possible to generalize the work by including quantitatively relaxed restrictions.
Keywords:
objective function, evolutionary strategies, consistency of the algorithm, global convergence

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