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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 28 days 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
2005
Springer
114views Optimization» more  GECCO 2005»
14 years 1 months ago
Exploiting disruption aversion to control code bloat
The authors employ multiple crossovers as a novel natural extension to crossovers as a mixing operator. They use this as a framework to explore the ideas of code growth. Empirical...
Jason Stevens, Robert B. Heckendorn, Terence Soule
EH
2003
IEEE
90views Hardware» more  EH 2003»
14 years 25 days 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
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 1 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 28 days ago
A Study of the Role of Single Node Mutation in Genetic Programming
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
Wei Quan, Terence Soule