An application of extended NSGA-II in interval valued multi-objective scheduling problem of crews.
Tanmoy BanerjeeAmiya BiswasAli Akbar ShaikhAsoke Kumar BhuniaPublished in: Soft Comput. (2022)
Keyphrases
- multi objective
- nsga ii
- interval valued
- scheduling problem
- multi objective optimization
- fuzzy sets
- multiobjective optimization
- pareto optimal
- real valued
- evolutionary algorithm
- multiobjective evolutionary algorithm
- optimization algorithm
- group decision making
- multi objective optimization problems
- partially ordered
- genetic algorithm
- pareto optimal solutions
- multi objective evolutionary algorithms
- tabu search
- objective function
- multiple objectives
- np hard
- test problems
- evolutionary multiobjective
- multi objective optimisation
- evolutionary multiobjective optimization
- multi criteria
- optimization problems
- representation scheme
- multiple criteria
- optimal solution
- particle swarm optimization
- multi objective problems
- bi objective
- optimum design
- partial order
- pareto dominance
- aggregation operators
- knapsack problem
- strength pareto evolutionary algorithm
- decision making
- decision makers
- differential evolution
- pareto fronts
- pareto frontier
- interval valued fuzzy
- fuzzy numbers
- fitness function
- expert systems
- pattern recognition