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» Adapting binary fitness functions in Genetic Algorithms
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EH
2003
IEEE
90views Hardware» more  EH 2003»
15 years 2 months ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 2 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
GECCO
2003
Springer
15 years 2 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
EVOW
2010
Springer
15 years 4 months ago
Enhancing Genetic Algorithms by a Trie-Based Complete Solution Archive
Genetic algorithms (GAs) share a common weakness with most other metaheuristics: Candidate solutions are in general revisited multiple times, lowering diversity and wasting preciou...
Günther R. Raidl, Bin Hu