788 search results - page 6 / 158 » GA-Optimal Fitness Functions |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
FOGA
1994
13 years 9 months ago
1994
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
LION
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we introduce the variable fitness function which can be used to control the search direction of any search based optimisation heuristic where more than one objective ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fract...
XPU
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. The paper outlines an experiment conducted in two different academic environments, in which FIT tests were used as a functional requirements specification. Common challen...