A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization.
Tae Jong ChoiJulian TogeliusYun-Gyung CheongPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- differential evolution
- test functions
- numerical optimization
- opposition based learning
- artificial bee colony
- numerical optimization problems
- evolutionary algorithm
- evolution strategy
- particle swarm optimization
- convergence speed
- initial population
- optimization algorithm
- differential evolution algorithm
- biogeography based optimization
- genetic algorithm
- mutation operator
- optimization method
- particle swarm optimization pso
- multi objective optimization
- constrained optimization problems
- premature convergence
- hybrid algorithm
- multi objective genetic algorithm
- multi objective
- particle swarm optimization algorithm
- pso algorithm
- particle swarm
- function optimization
- fitness function
- simulated annealing
- optimization problems
- global optimization
- artificial immune system
- global search
- multiple objectives