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Porcellio scaber algorithm (PSA) for solving constrained optimization problems

Abstract

In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem. Our extensive experiment results based on benchmark optimization problems show that the PSA has a better performance than many existing methods or algorithms. The results indicate that the PSA is a promising algorithm for constrained optimization

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EDP Sciences OAI-PMH repository (1.2.0)

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Last time updated on 10/04/2020

This paper was published in EDP Sciences OAI-PMH repository (1.2.0).

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