A many-objective evolutionary algorithm based on interaction force and hybrid optimization mechanism.
Lei YangJiale CaoKangshun LiYuanye ZhangRui XuKe LiPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- evolutionary algorithm
- optimization problems
- multi objective
- multiple objectives
- function optimization
- optimization method
- evolution strategy
- multi objective optimization
- evolutionary strategy
- evolutionary computation
- multi objective evolutionary algorithms
- global optimization
- simulated annealing
- optimization algorithm
- fitness function
- differential evolution
- optimization methods
- optimization process
- human computer interaction
- mutation operator
- nsga ii
- particle swarm
- genetic programming
- crossover operator
- hybrid learning
- position control
- genetic operators
- real time
- hybrid evolutionary algorithm
- human interaction
- test problems
- convergence speed
- computational model
- user interaction