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IPPS
2003
IEEE
14 years 11 days ago
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) known as gradual distributed real-coded GA (GD-RCGA). This search model naturally...
Enrique Alba, Francisco Luna, Antonio J. Nebro
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
14 years 18 days ago
Parallel genetic algorithms on line topology of heterogeneous computing resources
This paper evaluates a parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of...
Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 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
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
PPSN
2004
Springer
14 years 13 days ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
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...
Petr Posik