Abstract. This paper presents a hybridization of a Constraint Programming (CP) model and search techniques with Local Search (LS) and some ideas borrowed from Genetic Algorithms (G...
Louis-Martin Rousseau, Gilles Pesant, Michel Gendr...
Kermeta is a meta-language for specifying the structure and behavior of graphs of interconnected objects called models. In this paper, we show that Kermeta is relatively suitable f...
Naouel Moha, Sagar Sen, Cyril Faucher, Olivier Bar...
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
— This paper presents an algorithm which combines Estimation Distribution Algorithm with a chromosome compression scheme to solve large scale Noisy OneMax problem. The search spa...