Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization.
Rehab Ali IbrahimMohamed Abd El-AzizSongfeng LuPublished in: Expert Syst. Appl. (2018)
Keyphrases
- global optimization
- differential evolution
- optimization algorithm
- multi objective
- particle swarm optimization
- optimization method
- differential evolution algorithm
- convergence speed
- test functions
- mutation operator
- global optima
- particle swarm optimization pso
- artificial bee colony
- premature convergence
- evolutionary programming
- multi objective optimization
- pso algorithm
- constrained optimization problems
- ant colony algorithm
- parameter optimization
- global optimization problems
- evolution strategy
- hybrid algorithm
- evolutionary algorithm
- global search
- search capabilities
- crossover operator
- numerical optimization
- particle swarm optimisation
- objective function
- evolutionary strategy
- particle swarm
- nsga ii
- bp neural network
- multi objective evolutionary algorithms
- multiple objectives
- ant colony optimization
- neural network
- biogeography based optimization