multi-objective genetic algorithms 多目标遗传算法
non-herd super multi-objective genetic algorithms 非群体迭代型多目标遗传算法
This paper discusses some problems of Multi-objective Genetic Algorithms at the same time, gives some new improvements to MOGAs.
本文探讨了多目标遗传算法存在的问题，并提出了相应的改进策略。
Genetic algorithms to solve the multi-objective optimization problems have their unique advantages, and the spacecraft orbit maneuver was a typical multi-objective optimization problem.
遗传算法在解决多目标优化问题中有其独特的优势，而航天器轨道机动是典型的多目标优化问题。
One advantage of multi-objective genetic optimization algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their single run.
多目标遗传优化算法的一个优点就是可在一次迭代计算中寻找到问题的多个非劣最优解。
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