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- NSGA-Ⅱ算法NSGA-Ⅱ algorithm
- 多目标遗传算法（NSGA-Ⅱ）non-dominated sorting genetic algorithm-Ⅱ
- 非支配排序遗传算法（NSGA-Ⅱ）fast and elitist multi-objective genetic algorithm(NSGA-II)
- NSGA-ⅡNSGA-Ⅱ
- 非支配排序遗传算法II（NSGA-II）Non-dominated Sorting Genetic Algorithm-I(INSGA-II)
- 改进的非支配排序遗传算法（NSGA-Ⅱ）Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ)
- 算法设计algorithm design
- 算法设计与分析The Design and Analysis of Algorithm
- 控制算法control algorithm
- 聚类算法clustering algorithm
- 启发式算法heuristic algorithm
- 本文分别将Pareto-MEC与Rand，VEGA，NSGA和SPEA这四种算法进行了比较实验。Pareto-MEC is respectively compared with the reference algorithms of Rand, VEGA, NSGA and SPEA.
- 迭代算法iterative algorithm
- 最优控制算法algorithm for optimal control
- 渐缩算法knapsack algorithm
- 调度算法scheduling algorithm
- Ｋ－Ｐ算法K-P calculation
- ＫＫＲ算法KKR calculation
- 逼近算法approximate algorithm
- "分裂和合并" 算法split-and-merge algorithm
