A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems.
Shuang WangQingxin LiuYuxiang LiuHeming JiaLaith AbualigahRong ZhengDi WuPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- engineering problems
- opposition based learning
- differential evolution
- engineering design
- evolutionary algorithm
- genetic algorithm
- particle swarm optimization
- multiobjective optimization
- multi objective genetic algorithm
- biogeography based optimization
- biological systems
- mutation operator
- genetic algorithm ga
- artificial intelligence
- optimization algorithm
- multi objective
- min max
- optimization method
- complex systems
- dynamic programming