Multifactorial Differential Evolution with Opposition-based Learning for Multi-tasking Optimization.
Yanan YuAnmin ZhuZexuan ZhuQiuzhen LinJian YinXiaoliang MaPublished in: CEC (2019)
Keyphrases
- differential evolution
- opposition based learning
- optimization algorithm
- optimization method
- evolution strategy
- multi objective genetic algorithm
- evolutionary algorithm
- multi tasking
- parameter optimization
- global optimization problems
- particle swarm optimization
- convergence speed
- initial population
- evolutionary strategy
- biogeography based optimization
- mutation operator
- optimization problems
- differential evolution algorithm
- premature convergence
- constrained optimization problems
- hybrid algorithm
- particle swarm
- test functions
- multi objective optimization
- multi objective
- optimization process
- particle swarm optimization pso
- genetic algorithm
- operating system
- optimization procedure
- multiple objectives
- function optimization
- global optimization
- constraint handling
- crossover operator
- particle swarm optimisation
- multi objective evolutionary algorithms
- swarm intelligence
- control system
- genetic programming
- evolutionary computation