An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints.
Zhenwei ZhuXionghui ZhouPublished in: Comput. Ind. Eng. (2020)
Keyphrases
- multi objective
- precedence constraints
- optimization algorithm
- evolutionary optimization
- single machine scheduling problem
- maximum lateness
- scheduling problem
- release dates
- genetic algorithm
- branch and bound algorithm
- evolutionary algorithm
- multi objective optimization
- flowshop
- processing times
- precedence relations
- single machine
- parallel machines
- identical machines
- particle swarm optimization
- vertex cover
- partial order
- release times
- parallel processors
- approximation algorithms
- objective function
- global constraints
- sequence dependent setup times
- series parallel
- partially ordered
- np hard
- neural network
- partially ordered sets
- nsga ii
- branch and bound
- setup times
- completion times
- job shop scheduling problem
- simulated annealing
- search space
- lower bound
- unit length
- computational complexity