MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives.
Yan-Yan TanYong-Chang JiaoHong LiXin-Kuan WangPublished in: Comput. Oper. Res. (2013)
Keyphrases
- uniform design
- nsga ii
- optimization problems
- multi objective
- multi objective evolutionary algorithms
- evolutionary algorithm
- pareto optimal solutions
- genetic algorithm
- test problems
- multiple objectives
- crossover operator
- multiobjective evolutionary algorithm
- pareto optimal
- convex programming
- multi objective optimization
- multiobjective optimization
- objective function
- metaheuristic
- knapsack problem
- cost function
- mutation operator
- bi objective
- benchmark problems
- optimization algorithm
- traveling salesman problem
- multi objective problems
- particle swarm optimization
- differential evolution
- optimization criteria
- optimal solution
- fitness function
- evolutionary computation
- hybrid genetic algorithm
- ant colony optimization
- genetic algorithm ga
- simulated annealing
- combinatorial optimization
- artificial neural networks