PPSN
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
This paper introduces a new evaluation function, called δ, for the Bandwidth Minimization Problem for Graphs (BMPG). Compared with the classical β evaluation function used, our ...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
A radius–based separation of selection and recombination spheres in diffusion model EAs is introduced, enabling a new taxonomy, oriented towards information flow analysis. It a...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
PPSN
2004
Springer
14 years 4 months ago
2004
Springer
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...