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177
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
145
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
157
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
137
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
Program bloat is a fundamental problem in the field of Genetic Programming (GP). Exponential growth of redundant and functionally useless sections of programs can quickly overcome...
181
click to vote
GECCO
2006
Springer
15 years 9 months ago
2006
Springer
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...