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GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
14 years 1 months ago
The Virtual Gene Genetic Algorithm
This paper presents the virtual gene genetic algorithm (vgGA) which is a generalization of traditional genetic algorithms that use binary linear chromosomes. In the vgGA, tradition...
Manuel Valenzuela-Rendón
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 1 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
GECCO
2003
Springer
14 years 1 months ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
14 years 1 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
14 years 1 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang