Sciweavers

PPSN
2004
Springer
13 years 10 months ago
A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover
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...
Richard A. Watson
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
13 years 10 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 10 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
AUSAI
2007
Springer
13 years 10 months ago
The Detrimentality of Crossover
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Ber...
CEC
2007
IEEE
13 years 11 months ago
The effects of supermajority on multi-parent crossover
Abstract— Multi-parent crossover allows more than two parents participating in crossover. The increase of parents in crossover intensifies exploitation or exploration or both; h...
Chuan-Kang Ting, Chun-Cheng Chen