—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
A new approach for automated synthesis of analog and mixed-signal systems is presented. The heterogeneous genetic optimization strategy starts from a functional description and ev...
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary d...
Abstract. Theoretical models of Turing complete linear genetic programming (GP) programs suggest the fraction of halting programs is vanishingly small. Convergence results proved f...
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in f...