In this paper two methods for evolutionary algorithm control are proposed. The first one is a
new method of tuning tlie probabilities of genetic operators. It is assumed in the presented …

This paper describes a Genetic Algorithm (GA) convergence study for a highly multi-modal
fitness function with non-ordered parameters. The measures of GA performance used are …

An Indexed Bibliography of Genetic Algorithms Theory and Comparisons Page 1 An Indexed
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …

An Indexed Bibliography of Genetic Algorithms in the Mediterranean Page 1 An Indexed
Bibliography of Genetic Algorithms in the Mediterranean compiled by Jarmo T. Alander …

Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very
important to understand the search behavior of evolutionary algorithms and to develop more …

Genetic algorithms (GAs) have gathered much attention by researchers and practitioners
because of successful results in many real-world optimization problems [4],[5],[6]. However …

Genetic Algorithms (GAs) are robust probabilistic algorithms for optimization, relying strongly
on parallel computation. Their power comes from multi-point exploiting of the searching …

Η χρήση αγροτικών ρομπότ για την εκτέλεση αγροτικών εργασιών έχει ωριμάσει τα τελευταία
χρόνια και έχει επεκταθεί από τα πλαίσια του πρώιμου ερευνητικού πεδίου σε αυτό των …

Algoritmos evolucionarios sao amplamente utilizados em otimizagao de fungSes.
Algoritmos Geneticos (AG) sao algoritmos evolucionarios baseados na selegao natural …