Pareto-optimality approach based on uniform design and fuzzy evolutionary algorithms for flexible job-shop scheduling problems (FJSPs).
Imed KacemSlim HammadiPierre BornePublished in: SMC (2) (2002)
Keyphrases
- evolutionary algorithm
- uniform design
- pareto optimality
- pareto optimal
- job shop scheduling problem
- nsga ii
- multi objective
- genetic algorithm
- simulated annealing
- crossover operator
- optimization problems
- benchmark problems
- multi objective optimization
- memetic algorithm
- test problems
- genetic operators
- tabu search
- evolutionary computation
- fuzzy logic
- combinatorial optimization problems
- differential evolution
- fitness function
- multiobjective evolutionary algorithm
- multi criteria
- mutation operator
- scheduling problem
- optimization algorithm
- multi objective evolutionary algorithms
- optimization method
- metaheuristic
- genetic programming
- particle swarm optimization
- combinatorial optimization
- fuzzy numbers
- multiple objectives
- bi objective
- multi objective problems
- graph model
- evolution strategy
- particle swarm optimization pso
- hybrid algorithm
- knapsack problem
- social welfare
- solution quality