A review of multiobjective test problems and a scalable test problem toolkit.
Simon HubandPhilip HingstonLuigi BaroneLyndon WhilePublished in: IEEE Trans. Evol. Comput. (2006)
Keyphrases
- test problems
- nsga ii
- multi objective
- multi objective optimization problems
- pareto fronts
- optimization problems
- evolutionary algorithm
- solution quality
- multiobjective optimization
- test functions
- multi objective evolutionary algorithms
- knapsack problem
- benchmark problems
- multi objective optimization
- pareto optimal
- branch and bound algorithm
- multi objective problems
- tabu search
- multiobjective evolutionary algorithm
- test instances
- multi objective differential evolution
- optimization algorithm
- uniform design
- multiobjective evolutionary algorithms
- bi objective
- multiple objectives
- objective function
- particle swarm optimization
- pareto optimal solutions
- upper bound
- feasible solution
- simulated annealing
- pareto dominance
- genetic algorithm
- machine learning
- metaheuristic
- optimal solution