GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We present an evolutionary methodology that explores the evolution of network topology when a uniform growth of the network traffic is considered. The network redesign problem is ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
A rectilinear Steiner arborescence (RSA) is a tree, whose nodes include a prescribed set of points, termed the vertices, in the first quadrant of the Cartesian plane, and whose tr...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
It has previously been shown analytically and experimentally that continuous Estimation of Distribution Algorithms (EDAs) based on the normal pdf can easily suffer from premature ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...