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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
14 years 10 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
ICUMT
2009
14 years 7 months ago
A COP for cooperation in a P2P streaming protocol
This paper introduces a Combinatory Optimization Problem (COP) which captures the performance in cooperation of a P2P Streaming Network, considered at the buffer level. A new famil...
María Elisa Bertinat, Darío Padula, ...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 1 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu
84
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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 3 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 3 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya