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GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 16 days ago
Dispersion-Based Population Initialization
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...
Ronald W. Morrison
IJBC
2010
69views more  IJBC 2010»
13 years 2 months ago
Initiation of HIV Therapy
In this paper, we numerically show that the dynamics of the HIV system is sensitive to both the initial condition and the system parameters. These phenomena imply that the system ...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling
TEC
2010
120views more  TEC 2010»
13 years 2 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
AIPRF
2007
13 years 8 months ago
Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
Pedro A. Diaz-Gomez, Dean F. Hougen
GEM
2007
13 years 8 months ago
Initial Population for Genetic Algorithms: A Metric Approach
- Besides the difficulty of the application problem to be solved with Genetic Algorithms (GAs), an additional difficulty arises because the quality of the solution found, or the ...
Pedro A. Diaz-Gomez, Dean F. Hougen