Multiobjective Optimization
Multiobjective Optimization
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DOI：
10.1007/978-3-030-72311-8_5
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
J. D. Rojas;O. Arrieta;Ramón Vilanova
中科院分区：
文献类型：
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作者：
J. D. Rojas;O. Arrieta;Ramón Vilanova
本章通过提出帕累托前沿的概念，进一步探讨了多目标优化问题。为了找到这一前沿，将多准则问题转化为单一的标量代价函数。然而，众所周知，这种标量化过程并不是在所有情况下都能产生良好的帕累托前沿。为此，给出了几种标量化方法，并进行了比较。为了说明这些概念，将污水处理厂模型与反馈控制器结合使用。
This chapter further explores multiobjective optimization by presenting the Pareto front concept. In order to find this front, the multi-criteria problem is transformed into a single scalar cost function. However, it is known that this scalarization procedure may not yield a good Pareto front in all cases. For this reason, several scalarization methods are presented and compared. To exemplify the concepts, a wastewater treatment plant model is employed in conjunction with a feedback controller.