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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 2 days 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
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 2 days 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»
15 years 7 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»
15 years 7 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 11 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