Using holey fitness landscapes to counteract premature convergence in evolutionary algorithms.
Greg PaperinPublished in: GECCO (Companion) (2008)
Keyphrases
- evolutionary algorithm
- premature convergence
- fitness landscape
- mutation operator
- differential evolution
- crossover and mutation
- particle swarm
- fitness function
- population diversity
- genetic algorithm ga
- evolutionary computation
- evolutionary search
- multi objective
- optimization problems
- differential evolution algorithm
- crossover operator
- global optima
- convergence speed
- genetic programming
- genetic operators
- evolutionary programming
- optimization method
- multi objective optimization
- function optimization
- evolution process
- search capabilities
- test functions
- simulated annealing
- genetic algorithm
- adaptive mutation
- evolutionary process
- initial population
- mutation rate
- evolution strategy
- mutation operation
- particle swarm optimization pso
- nsga ii
- particle swarm optimisation
- optimization algorithm
- fitness values
- neural network
- swarm intelligence
- global optimization