On the Use of Compact Approaches in Evolution Strategies

• Main Authors: Anderson SERGIO, Sidartha CARVALHO, Marco REGO
• Format: Article
• Language: English
• Published: Ediciones Universidad de Salamanca 2014-12-01
• Series: Advances in Distributed Computing and Artificial Intelligence Journal
• Subjects: adaptive systems; compact evolutionary algorithms; evolution strategies; estimation of distribution algorithms
• Online Access: https://revistas.usal.es/index.php/2255-2863/article/view/13183

<p>Compact evolutionary algorithms have proven to be an efficient alternative for solving optimization problems in computing environments with low processing power. In this kind of solution, a probability distribution simulates the behavior of a population, thus looking for memory savings. Several compact algorithms have been proposed, including the compact genetic algorithm and compact differential evolution. This work aims to investigate the use of compact approaches in other important evolutionary algorithms: evolution strategies. This paper proposes two different approaches for compact versions of evolution strategies. Experiments were performed and the results analyzed. The results showed that, depending on the nature of problem, the use of the compact version of Evolution Strategies can be rewarding.</p>