Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective optimization problems, which are attached more and more importance to.
进化算法作为处理复杂函数最优化、多目标最优化问题的一种有效算法，正日益受到人们的重视。
A method for dynamic multi-objective optimization problems (DMOPs) is given.
给出了动态多目标优化问题的一种新解法。
Uncertain multi-objective optimization problems widely exist in real-world applications.
不确定多目标优化问题广泛存在于日常生产生活中。
There are many problems of complex system design in engineering, which can be abstract to multi-objective optimization problems.
在现实工程情况下存在大量复杂系统的设计问题，而这些问题都可以抽象为多目标优化问题。
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。
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。
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