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» Generalized crowding for genetic algorithms
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
70
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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 3 months ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
14 years 10 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
14 years 10 months ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf