Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems.
Longcan ChenKe ShangHisao IshibuchiPublished in: SSCI (2020)
Keyphrases
- multi objective evolutionary algorithms
- test problems
- nsga ii
- multi objective optimization problems
- solution quality
- branch and bound algorithm
- benchmark problems
- multi objective
- knapsack problem
- tabu search
- optimization problems
- test functions
- multi objective problems
- pareto optimal solutions
- grammar guided genetic programming
- multi objective optimization
- multi objective differential evolution
- simulated annealing
- multi criteria
- evolutionary algorithm
- evolutionary computation
- scheduling problem
- optimal solution
- genetic algorithm
- machine learning
- genetic programming
- upper bound
- multiple objectives
- pareto optimal
- multiobjective optimization
- search algorithm
- reinforcement learning