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» Adapting binary fitness functions in Genetic Algorithms
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 2 months ago
Precision, local search and unimodal functions
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 5 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
2004
Springer
15 years 6 months ago
A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
Simon Fischer
CIRA
2007
IEEE
135views Robotics» more  CIRA 2007»
15 years 7 months ago
Morphological Evolution of Dynamic Structures in a 3-Dimensional Simulated Environment
— The results presented in this paper are a part of the second phase of a body of research with the goal of coevolving the mind and morphology of dynamic robots. We use a 3-Dimen...
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ram...
GECCO
2004
Springer
15 years 6 months ago
Winnowing Wheat from Chaff: The Chunking GA
In this work, we investigate the ability of a Chunking GA (ChGA) to reduce the size of variable length chromosomes and control bloat. The ChGA consists of a standard genetic algori...
Hal Stringer, Annie S. Wu