A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization.
Tae Jong ChoiJulian TogeliusYun-Gyung CheongPublished in: CoRR (2019)
Keyphrases
- differential evolution
- test functions
- numerical optimization
- opposition based learning
- numerical optimization problems
- artificial bee colony
- evolutionary algorithm
- evolution strategy
- particle swarm optimization
- optimization algorithm
- convergence speed
- differential evolution algorithm
- biogeography based optimization
- initial population
- particle swarm optimization pso
- constrained optimization problems
- mutation operator
- multi objective optimization
- optimization method
- genetic algorithm
- premature convergence
- particle swarm
- function optimization
- particle swarm optimization algorithm
- multi objective genetic algorithm
- swarm intelligence
- crossover operator
- nsga ii
- optimal solution