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GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
A simple line search operator for ridged landscapes
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...
Andrea Soltoggio
72
Voted
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
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 ...
Jeff Riley, Victor Ciesielski
CEC
2010
IEEE
14 years 10 months ago
Defining locality in genetic programming to predict performance
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...
Edgar Galván López, James McDermott,...
TEC
2010
126views more  TEC 2010»
14 years 4 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
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...
Mohamed Qasem, Adam Prügel-Bennett
PPSN
1998
Springer
15 years 1 months ago
Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function
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, ...