A NSGA-II Algorithm Hybridizing Local Simulated-Annealing Operators for a Bi-Criteria Robust Job-Shop Scheduling Problem Under Scenarios.
Bing WangHanxin XieXuedong XiaXianxia ZhangPublished in: IEEE Trans. Fuzzy Syst. (2019)
Keyphrases
- simulated annealing
- job shop scheduling problem
- evolutionary algorithm
- optimization algorithm
- benchmark problems
- test problems
- tabu search
- bicriteria
- genetic algorithm
- critical path
- computational complexity
- solution quality
- optimal solution
- computationally efficient
- metaheuristic
- worst case
- np hard
- knapsack problem
- combinatorial optimization
- dynamic programming
- nsga ii
- combinatorial optimization problems
- memetic algorithm
- heuristic methods
- neural network
- cost function
- mathematical model
- search space
- graph model
- similarity measure
- shortest path problem