An enhanced NSGA-II algorithm for fuzzy bi-objective assembly line balancing problems.
Hossein BabazadehM. H. AlavidoostM. H. Fazel ZarandiS. T. SayyariPublished in: Comput. Ind. Eng. (2018)
Keyphrases
- bi objective
- test problems
- nsga ii
- multi objective evolutionary algorithms
- multi objective
- efficient solutions
- optimization algorithm
- bin packing
- knapsack problem
- assembly line balancing
- ant colony optimization
- multi objective optimization
- benchmark problems
- cost function
- optimization problems
- pareto optimal solutions
- computational complexity
- objective function
- optimal solution
- neural network
- special case
- genetic algorithm
- computationally efficient
- shortest path problem
- multiobjective optimization
- artificial neural networks
- packing problem
- network design
- hill climbing
- combinatorial optimization problems
- multi criteria
- multiple objectives
- fuzzy clustering
- search methods
- combinatorial optimization
- computational efficiency
- np hard
- shortest path
- dynamic programming
- fuzzy sets