Evolving dynamic change and exchange of genotype encoding in genetic algorithms for difficult optimization problems.
Maroun BercachiPhilippe CollardManuel ClergueSébastien VérelPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- optimization problems
- evolutionary algorithm
- genetic algorithm
- metaheuristic
- continuously changing
- cost function
- simulated annealing
- evolution process
- dynamic environments
- artificial neural networks
- fitness function
- information exchange
- objective function
- population size
- combinatorial optimization
- optimization methods
- changing environment
- image sequences
- genetic operators
- mutation operator
- evolutionary computation
- particle swarm optimization
- scheduling problem