Tool sequence optimization using synchronous and asynchronous parallel multi-objective evolutionary algorithms with heterogeneous evaluations.
Alexander W. ChurchillPhil HusbandsAndrew PhilippidesPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- multiobjective optimization
- multi objective problems
- multi objective optimization problems
- multi objective optimization
- optimization problems
- optimization algorithm
- test problems
- nsga ii
- multi criteria
- differential evolution
- machine learning
- bi objective
- evolutionary algorithm
- decision making
- fitness function
- computational intelligence
- lower bound
- neural network
- grammar guided genetic programming