Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems.
Shiori KaigeTadahiko MurataHisao IshibuchiPublished in: SMC (2003)
Keyphrases
- test problems
- nsga ii
- benchmark problems
- optimization problems
- solution quality
- multiobjective optimization
- tabu search
- knapsack problem
- branch and bound algorithm
- evolutionary multiobjective optimization
- multi objective optimization problems
- multi objective
- evolutionary algorithm
- dominance relation
- combinatorial optimization
- computational complexity
- decision rules
- multi objective optimization
- dynamic programming
- search algorithm
- computational efficiency