PPSN
2004
Springer
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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...