446 search results - page 28 / 90 » Using a genetic algorithm approach to solve the dynamic chan... |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
EMO
2006
Springer
14 years 10 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...