A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
Zhenkun WangYew-Soon OngJianyong SunAbhishek GuptaQingfu ZhangPublished in: IEEE Trans. Evol. Comput. (2019)
Keyphrases
- test problems
- nsga ii
- multi objective
- pareto fronts
- multi objective optimization problems
- multiobjective optimization
- multiobjective evolutionary algorithm
- evolutionary algorithm
- optimization problems
- benchmark problems
- multi objective optimization
- multi objective problems
- pareto optimal
- test functions
- solution quality
- multi objective differential evolution
- multi objective evolutionary algorithms
- branch and bound algorithm
- tabu search
- knapsack problem
- optimization algorithm
- bi objective
- genetic algorithm
- pareto optimal solutions
- particle swarm optimization
- multiobjective evolutionary algorithms
- pareto dominance
- test instances
- objective function
- simulated annealing
- differential evolution
- multiple objectives
- fitness function
- dynamic programming
- engineering problems
- cost function
- computational complexity
- optimal solution
- crossover operator