An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem.
Fuqing ZhaoJianxin TangJunbiao Wang JonrinaldiPublished in: Comput. Oper. Res. (2014)
Keyphrases
- job shop scheduling problem
- multi objective
- genetic algorithm
- job shop scheduling
- production scheduling
- simulated annealing
- tabu search
- critical path
- evolutionary algorithm
- scheduling problem
- optimization algorithm
- memetic algorithm
- benchmark problems
- particle swarm optimization
- multi objective optimization
- tabu search algorithm
- combinatorial optimization problems
- graph model
- benchmark instances
- pso algorithm
- objective function
- nsga ii
- information retrieval
- evolutionary computation
- index structure
- hybrid algorithm
- document retrieval
- genetic algorithm ga
- fuzzy logic
- metaheuristic
- optimization problems
- information retrieval systems