Distance based NSGA-II for earliness and tardiness minimization in Parallel Machine Scheduling.
A. C. M. A. TepedinoRicardo H. C. TakahashiEduardo Gontijo CarranoPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- nsga ii
- multi objective
- multi objective optimization
- evolutionary algorithm
- test problems
- objective function
- multiobjective optimization
- pareto optimal
- optimization problems
- optimization algorithm
- multiobjective evolutionary algorithm
- multi objective differential evolution
- evolutionary multiobjective
- test functions
- mutation operator
- constrained multi objective optimization problems
- evolutionary multiobjective optimization
- optimal solution
- differential evolution
- multi objective evolutionary algorithms
- fitness function
- multi objective optimisation
- multi objective optimization problems
- genetic algorithm
- pareto optimal solutions
- knapsack problem
- uniform design
- evolutionary computation
- bi objective
- pareto dominance
- multi objective problems
- crossover operator
- multi objective genetic algorithm
- particle swarm optimization
- genetic programming
- linear programming
- multi criteria
- multiple objectives
- benchmark problems