A machine-learning based memetic algorithm for the multi-objective permutation flowshop scheduling problem.
Xianpeng WangLixin TangPublished in: Comput. Oper. Res. (2017)
Keyphrases
- memetic algorithm
- multi objective
- machine learning
- genetic algorithm
- evolutionary algorithm
- evolutionary computation
- tabu search
- crossover operator
- multi objective optimization
- optimization algorithm
- assembly line balancing
- timetabling problem
- particle swarm optimization
- multiple objectives
- job shop scheduling problem
- benchmark instances
- nsga ii
- vehicle routing problem
- machine learning methods
- learning algorithm
- machine learning algorithms
- computational intelligence
- simulated annealing
- multi objective optimization problems
- objective function
- combinatorial optimization
- conflicting objectives
- feature selection
- multi criteria
- reinforcement learning
- differential evolution
- decision trees
- artificial intelligence
- fitness function
- metaheuristic
- optimization problems
- fuzzy logic
- information extraction
- test problems
- data mining
- pareto optimal
- multi objective evolutionary algorithms
- control system
- decision making
- multi objective evolutionary