This paper describes a new simple operator for Evolutionary Algorithms (EA) to climb ridged landscapes. Categories and Subject Descriptors: I.2.8 [Computing Methodologies]: Proble...
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Abstract-- A key indicator of problem difficulty in evolutionary computation problems is the landscape's locality, that is whether the genotype-phenotype mapping preserves nei...
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
This paper presents a comparative study of Evolutionary Algorithms (EAs) for Constraint Satisfaction Problems (CSPs). We focus on EAs where fitness is based on penalization of cons...
A. E. Eiben, Jano I. van Hemert, Elena Marchiori, ...