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» On the practical genetic algorithms
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BMCBI
2010
185views more  BMCBI 2010»
13 years 3 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
KES
1999
Springer
14 years 21 days ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
IPPS
2006
IEEE
14 years 2 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
IPPS
2005
IEEE
14 years 2 months ago
Security-Driven Heuristics and A Fast Genetic Algorithm for Trusted Grid Job Scheduling
In this paper, our contributions are two-fold: First, we enhance the Min-Min and Sufferage heuristics under three risk modes driven by security concerns. Second, we propose a new ...
Shanshan Song, Yu-Kwong Kwok, Kai Hwang
FOGA
1998
13 years 9 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal