415 search results - page 21 / 83 » Evolving Quasigroups by Genetic Algorithms |
PPSN
1998
Springer
14 years 1 months ago
1998
Springer
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
CEC
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...