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» A parameter-less genetic algorithm
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131
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ICC
2008
IEEE
117views Communications» more  ICC 2008»
15 years 11 months ago
Proactive Power Optimization of Sensor Networks
—We propose a reduced-complexity genetic algorithm for dynamic deployment of resource constrained multi-hop mobile sensor networks. The goal of this paper is to achieve optimal c...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
116
Voted
GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
15 years 10 months ago
Empirical analysis of ideal recombination on random decomposable problems
This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifical...
Kumara Sastry, Martin Pelikan, David E. Goldberg
ICANN
2007
Springer
15 years 10 months ago
Identifying Binding Sites in Sequential Genomic Data
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genet...
Mark Robinson, Cristina González Castellano...
148
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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 10 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman
GECCO
2004
Springer
135views Optimization» more  GECCO 2004»
15 years 10 months ago
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution
A model for the co-evolution of patterns and classifiers is presented. The CellNet system for generating binary classifiers is used as a base for experimentation. The CellNet syste...
Taras Kowaliw, Nawwaf N. Kharma, Chris Jensen, Hus...