444 search results - page 30 / 89 » Solving Mastermind Using Genetic Algorithms |
FOGA
1998
13 years 10 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
GECCO
2009
Springer
14 years 3 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
EMO
2006
Springer
14 years 8 days ago
2006
Springer
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...