Abstract. Constraint Programming is a proven successful technique, but it requires skill in modeling problems, and knowledge on how algorithms interact with models. What can be a g...
Alfio Vidotto, Kenneth N. Brown, J. Christopher Be...
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
In this paper we propose a new parallelization scheme for Simulated Annealing — Hierarchical Parallel SA (HPSA). This new scheme features coarse-granularity in parallelization, d...
Shiming Xu, Wenguang Chen, Weimin Zheng, Tao Wang,...