A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
Kaizhou GaoZhiguang CaoLe ZhangZhenghua ChenYuyan HanQuanke PanPublished in: IEEE CAA J. Autom. Sinica (2019)
Keyphrases
- swarm intelligence
- evolutionary algorithm
- evolutionary computation
- job shop scheduling problem
- simulated annealing
- particle swarm algorithm
- particle swarm
- memetic algorithm
- job shop scheduling
- particle swarm optimization pso
- multi objective
- optimization problems
- differential evolution
- genetic algorithm
- particle swarm optimization
- combinatorial optimization
- bio inspired
- ant colony optimization
- combinatorial optimization problems
- genetic programming
- fitness function
- timetabling problem
- benchmark problems
- artificial immune system
- tabu search
- evolutionary computing
- nature inspired
- computational intelligence
- multi objective optimization
- metaheuristic
- optimisation problems
- social insects
- ant colonies
- optimization method
- social behavior
- crossover operator
- collective behavior
- multiobjective optimization
- scheduling problem
- genetic algorithm ga
- mutation operator
- artificial bee colony
- swarm optimization
- swarm robotics
- test functions
- hybrid algorithm
- evolution strategy
- neural network
- hyper heuristics
- foraging behavior
- vehicle routing problem
- particle swarm optimisation
- graph model
- traveling salesman problem
- optimization algorithm
- special case
- objective function
- artificial intelligence
- machine learning