117 search results - page 7 / 24 » Optimal Mutation Rates and Selection Pressure in Genetic Alg... |
APIN
2000
13 years 7 months ago
2000
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
GECCO
2010
Springer
14 years 13 days ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
ASPDAC
1999
ACM
13 years 12 months ago
1999
ACM
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
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 ...