A controlled genetic algorithm by fuzzy logic and belief functions for job-shop scheduling.
S. HajriNoureddine LiouaneSlim HammadiPierre BornePublished in: IEEE Trans. Syst. Man Cybern. Part B (2000)
Keyphrases
- job shop scheduling
- belief functions
- genetic algorithm
- fuzzy logic
- job shop scheduling problem
- dempster shafer theory
- dempster shafer
- scheduling problem
- uncertain reasoning
- combinatorial optimization problems
- simulated annealing
- probability function
- fuzzy sets
- neural network
- evolutionary computation
- probability theory
- soft computing
- tabu search
- metaheuristic
- memetic algorithm
- computational intelligence
- markov tree
- benchmark problems
- evolutionary algorithm
- fuzzy numbers
- combination rule
- decision making
- resource constraints
- expert systems
- fuzzy membership functions
- fuzzy rules
- fitness function
- multi objective
- multi objective optimization
- evidential reasoning
- genetic programming
- fuzzy reasoning
- membership functions
- evidence theory
- crossover operator
- control system
- graph model
- artificial neural networks
- particle swarm optimization
- artificial intelligence