GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Genetic algorithms have been successfully applied to many difficult problems but there have been some disappointing results as well. In these cases the choice of the internal repre...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic mode...
GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
14 years 4 months ago
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm i...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...