Performance comparison of EMO algorithms on test problems with different search space shape.
Yuki TanigakiYusuke NojimaHisao IshibuchiPublished in: IFSA-SCIS (2017)
Keyphrases
- test problems
- solution quality
- optimization problems
- benchmark problems
- nsga ii
- search space
- knapsack problem
- test instances
- branch and bound algorithm
- tabu search
- multi objective optimization problems
- test functions
- objective function
- learning algorithm
- computational efficiency
- metaheuristic
- computationally efficient
- linear programming
- evolutionary algorithm
- data structure
- multi objective problems
- mathematical model
- infeasible solutions
- search strategy
- machine learning
- multi objective
- genetic algorithm