332 search results - page 9 / 67 » Adapting binary fitness functions in Genetic Algorithms |
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
68
Voted
GECCO
2005
Springer
15 years 3 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...
CEC
2007
IEEE
14 years 11 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
69
Voted
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
ITICSE
1997
ACM
15 years 1 months ago
1997
ACM
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...