Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm.
Chao LuLiang GaoWenyin GongChengyu HuXuesong YanXinyu LiPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- optimization algorithm
- multi objective
- scheduling problem
- flowshop
- differential evolution
- dispatching rule
- wafer fabrication
- production scheduling
- job shop
- unrelated parallel machines
- evolutionary algorithm
- single machine
- sequence dependent setup times
- multi objective optimization
- setup times
- optimization method
- maximum lateness
- parallel machines
- manufacturing cell
- multiple objectives
- tabu search
- genetic algorithm
- multiobjective optimization
- processing times
- nsga ii
- np hard
- flowshop scheduling
- particle swarm optimization
- evolutionary multi objective
- precedence constraints
- particle swarm optimization pso
- release dates
- flowshop scheduling problems
- memetic algorithm
- particle swarm
- completion times
- harmony search
- objective function
- open shop
- evolutionary computation
- pareto optimal solutions
- artificial bee colony
- hybrid optimization algorithm
- job shop scheduling problem
- flexible manufacturing systems
- bp neural network
- simulated annealing
- manufacturing systems
- particle swarm optimizer
- lot streaming
- multi objective evolutionary algorithms
- neural network