Solving multi-objective permutation flowshop scheduling problem using CUDA.
Dominik ZelaznyJaroslaw PemperaPublished in: MMAR (2015)
Keyphrases
- multi objective
- evolutionary algorithm
- optimization algorithm
- particle swarm optimization
- objective function
- multi objective optimization
- genetic algorithm
- conflicting objectives
- multiobjective optimization
- multiple objectives
- nsga ii
- data sets
- evolutionary optimization
- single objective optimization
- neural network
- combinatorial optimization
- optimization problems
- cost function
- multi criteria
- pareto optimal
- trade off
- pareto optimal solutions
- expert systems
- decision making
- multi objective optimization problems