A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem.
Ying-Ying HuangQuan-Ke PanLiang GaoZhong-Hua MiaoChen PengPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- evolutionary algorithm
- multi objective
- multi objective optimization
- optimization problems
- evolutionary computation
- optimization algorithm
- differential evolution
- genetic programming
- particle swarm optimization
- multiobjective optimization
- genetic algorithm
- multiple objectives
- distributed systems
- evolutionary optimization
- simulated annealing
- cooperative
- bi objective
- nsga ii
- multi objective optimization problems
- multiobjective evolutionary algorithm
- conflicting objectives
- fitness function
- pareto optimal
- mutation operator
- evolutionary strategy
- particle swarm
- distributed data
- fault tolerant
- optimum design
- genetic operators
- multi agent
- neural network
- distributed environment
- multi objective evolutionary
- heterogeneous environments
- function optimization
- evolutionary process
- crossover operator
- particle swarm optimization algorithm
- metaheuristic
- trade off