Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
: 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...
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...