Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems.
Shahed MahmudRipon K. ChakraborttyAlireza AbbasiMichael J. RyanPublished in: Appl. Soft Comput. (2022)
Keyphrases
- job shop
- supply chain
- bi objective
- scheduling problem
- tabu search
- ant colony optimization
- job shop scheduling
- efficient solutions
- multi objective
- job shop scheduling problem
- metaheuristic
- production scheduling
- resource constrained
- heuristic methods
- multi objective optimization
- network design
- ant colony algorithm
- simulated annealing
- flowshop
- multiple objectives
- single machine
- shortest path problem
- nsga ii
- test problems
- memetic algorithm
- vehicle routing problem
- genetic algorithm
- feasible solution
- np hard
- swarm intelligence
- combinatorial optimization
- decision making
- search algorithm
- combinatorial optimization problems
- particle swarm optimization
- evolutionary algorithm
- neural network
- communication networks
- optimal solution
- search space
- dynamic programming
- state space
- sensor networks
- optimization problems
- parallel machines
- lightweight
- optimization algorithm
- processing times
- global optimization