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GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 1 months ago
Fluctuating crosstalk, deterministic noise, and GA scalability
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...
Paul Winward, David E. Goldberg
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
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...
Janusz Wojtusiak, Ryszard S. Michalski
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Algebraic simplification of GP programs during evolution
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...
Phillip Wong, Mengjie Zhang
GECCO
2006
Springer
287views Optimization» more  GECCO 2006»
14 years 1 months ago
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
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...
Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 1 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
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