2147 search results - page 259 / 430 » Evolutionary Algorithms |
163
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GECCO
2009
Springer
16 years 1 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
174
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IPPS
2006
IEEE
16 years 19 days ago
2006
IEEE
This paper describes a parallel implementation of our recently developed algorithm for phylogenetic analysis on the IBM BlueGene/L cluster [15]. This algorithm constructs evolutio...
141
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
172
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
208
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ERCIMDL
2000
Springer
15 years 10 months ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...