Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization.
Ruwang JiaoSanyou ZengChanghe LiYew-Soon OngPublished in: Inf. Sci. (2021)
Keyphrases
- highly constrained
- multi objective
- multi objective evolutionary algorithms
- multiple objectives
- nsga ii
- pareto dominance
- optimization algorithm
- differential evolution
- test problems
- multiobjective optimization
- neural network
- np complete
- knapsack problem
- multi objective optimization
- pareto optimal
- constrained problems