Summarize traditional methods for multi-objectives optimization and methods based on evolutional computation, especially emphasize the current research progress of Genetic and PSO methods.
总结了多目标优化的传统解决方法和基于进化计算的解决方法，并重点介绍了遗传算法和粒子群算法在多目标优化领域的研究现状。
参考来源 - 改进的粒子群计算智能算法及其多目标优化的应用研究Because in the process integration design needed to consider the environment, the efficiency and the maneuverability simultaneously, the chemical process multi-objectives optimization synthesizes become an important research topic.
随着近年来在过程集成设计中需要同时考虑环境性、经济性和可操作性等因素,化工过程的多目标优化综合成为一个重要的研究课题。
参考来源 - 遗传算法用于多目标过程优化综合的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
So it is much more difficult to solve the multi-objectives optimization problems.
因此，多目标优化问题的求解变得困难。
Moreover most real project optimization questions are the multi-objectives optimization problems with more then one targets between which there exist conflicts mutually.
而且实际的工程优化问题中大多数是多目标优化问题，各子目标之间一般都存在互相冲突的现象。
Calculation results indicated that the multi-objectives optimization method and application software were helpful to raise the level of distribution network reactive power flow optimization.
计算结果表明，这种多目标无功优化方法及应用软件有利于提高配电网的无功优化水平。
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