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» Adapting binary fitness functions in Genetic Algorithms
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
14 years 10 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 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
2004
Springer
15 years 3 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 4 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 3 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