Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
Dynamic module replacement — the ability to hot swap a component’s implementation at runtime — is fundamental to supporting evolutionary change in long-lived and highlyavail...
Abstract. Perhaps one the newest and of the more interesting cooperative approaches to evolutionary computation which has been more recently explored is the area of mutualism. In m...
: Accurate reconstruction of phylogenetic trees very often involves solving hard optimization problems, particularly the maximum parsimony (MP) and maximum likelihood (ML) problems...
Cristian Coarfa, Yuri Dotsenko, John M. Mellor-Cru...
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...