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。

This paper discusses some problems of Multi-objective Genetic Algorithms at the same time, gives some new improvements to MOGAs.

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作者提出了一种基于遗传算法的火电单元机组多目标优化协调控制策略。

The authors propose a coordinative control strategy of multiobjective optimal in power unit based on genetic algorithm(GA).

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为了获得更精简的特征序列，去除冗余特征，在特征约减方面，提出了基于多目标遗传算法的虹膜融合特征约减方法；

To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.

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在遗传算法基础上提出了多目标测试点确定问题的新的解决方案。

A new method which solved the test point "s problem of multi-objective was introduced based on the interaction genetic algorithms."

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在遗传算法基础上提出了多目标测试点确定问题的新的解决方案。

A new method which solved the test point "s problem of multi-objective was introduced based on the interaction genetic algorithms."

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