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CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract- Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the com...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...