Combining Machine Learning and Genetic Algorithms to Solve the Independent Tasks Scheduling Problem.
Bernabé DorronsoroFrédéric PinelPublished in: CYBCONF (2017)
Keyphrases
- scheduling problem
- machine learning
- genetic algorithm
- tabu search
- flowshop
- minimizing makespan
- single machine
- evolutionary computation
- learning classifier systems
- evolutionary algorithm
- evolutionary computing
- artificial neural networks
- data analysis
- simulated annealing
- neural network
- machine learning algorithms
- processing times
- pattern recognition
- transfer learning
- strongly np hard
- artificial intelligence
- learning tasks
- machine learning methods
- computational intelligence
- explanation based learning
- permutation flowshop
- knowledge acquisition
- feasible solution
- learning systems
- natural language processing
- information extraction
- np hard
- multi objective
- computer science
- data mining