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» Dynamic populations in genetic algorithms
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 6 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
CEC
2005
IEEE
13 years 7 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
13 years 10 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
ICGA
1993
157views Optimization» more  ICGA 1993»
13 years 6 months ago
Optimal Interaction of Mutation and Crossover in the Breeder Genetic Algorithm
The dynamic behavior of mutation and crossover is investigated with the Breeder Genetic Algorithm. The main emphasis is on binary functions. The genetic operators are compared nea...
Heinz Mühlenbein, Dirk Schlierkamp-Voosen
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 9 months ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo