Bio-inspired optimization algorithms have become an effective class of techniques for addressing challenging continuous optimization problems. In this work, we introduce the Parallel Enzyme Action Optimization (PEAO) algorithm, a parallel bio-inspired optimization approach that incorporates a multi-strategy communicati...
Glykeria Kyrou, Ioannis G. Tsoulos, Vasileios Charilogis· Analytics· 0 citations
Continuous optimization now draws on a large and growing number of competing metaheuristic families, including differential-evolution lineages, covariance-matrix adaptation strategies, swarm-intelligence methods, and simulated annealing, yet no single method dominates across problem classes, a consequence of the No Fre...
Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni· Machine Learning and Knowled...· 0 citations
SPARQ is an advanced global optimization algorithm, the direct evolution of an earlier method called ARQ2, that is more reliable than its predecessor on the large majority of tested problems, while staying grounded in the same battle-tested core.
Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni· AppliedMath· 0 citations
This paper presents a multi-stage evolutionary technique based on genetic algorithms for the effective training of RBF networks, applied to a large set of classification and data-fitting problems, yielding excellent results.
Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios G. Tsalikakis· Mathematics· 0 citations
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