PPSN
2004
Springer
13 years 11 months ago
2004
Springer
Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa i...
PPSN
2004
Springer
13 years 11 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...
PPSN
2004
Springer
13 years 11 months ago
2004
Springer
This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-ob...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylogeny, homology and molecular structure. Heuristic algorithms are applied because optimal mu...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...