An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problems.
Xiaodong ZhaoYiming FangLe LiuJianxiong LiMiao XuPublished in: Appl. Intell. (2020)
Keyphrases
- optimization algorithm
- differential evolution
- opposition based learning
- global optimization problems
- multi objective
- test functions
- convergence speed
- optimization method
- initial population
- differential evolution algorithm
- particle swarm optimization pso
- hybrid algorithm
- mutation operator
- multi objective optimization
- evolution strategy
- premature convergence
- crossover operator
- particle swarm
- genetic algorithm
- particle swarm optimization
- objective function