GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
An empirical study is performed on the local-optimum space of graph bipartitioning. We examine some statistical features of the fitness landscape. They include the cost-distance c...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Phylogenetics has gained in public favor for the analysis of DNA sequence data as molecular biology has advanced. Among a number of algorithms for phylogenetics, the fastDNAml is c...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. As a preprocessing for genetic algorithms, static reordering helps genetic algorithms effectively create and preserve high-quality schemata, and consequently improves th...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a G...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Using a well-known cooperative coevolutionary function optimization framework, a very simple cooperative coevolutionary (1+1) EA is defined. This algorithm is investigat...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...