A tutorial on multiobjective optimization: fundamentals and evolutionary methods.
A tutorial on multiobjective optimization: fundamentals and evolutionary methods.
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DOI：
10.1007/s11047-018-9685-y
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发表时间：
2018
影响因子：
2.1
通讯作者：
Deutz AH
中科院分区：
文献类型：
--
作者：
Emmerich MTM;Deutz AH
在几乎没有其他计算机科学领域，使用生物启发的搜索范例的想法是如此有用，就像解决多目标优化问题一样。使用近似帕累托前沿的众多搜索剂的想法与自然进化，免疫系统和群智能的过程产生了良好的共鸣。 NSGA-II，SPEA2，SMS-EMOA，MOPSO和MOEA/D等方法在解决多目标优化问题时成为标准求解器。本教程将回顾多目标优化中一些最重要的基本面，然后介绍代表性算法，说明其工作原理并讨论其应用范围。此外，教程将讨论统计绩效评估。最后，它重点介绍了最近的重要趋势和密切相关的研究领域。该教程适用于读者，他们希望在进化多目标优化的多目标优化和最新方法的数学基础上获取基本知识。目的是为在这个活跃领域进行研究的起点，还应帮助高级读者确定开放的研究主题。
In almost no other field of computer science, the idea of using bio-inspired search paradigms has been so useful as in solving multiobjective optimization problems. The idea of using a population of search agents that collectively approximate the Pareto front resonates well with processes in natural evolution, immune systems, and swarm intelligence. Methods such as NSGA-II, SPEA2, SMS-EMOA, MOPSO, and MOEA/D became standard solvers when it comes to solving multiobjective optimization problems. This tutorial will review some of the most important fundamentals in multiobjective optimization and then introduce representative algorithms, illustrate their working principles, and discuss their application scope. In addition, the tutorial will discuss statistical performance assessment. Finally, it highlights recent important trends and closely related research fields. The tutorial is intended for readers, who want to acquire basic knowledge on the mathematical foundations of multiobjective optimization and state-of-the-art methods in evolutionary multiobjective optimization. The aim is to provide a starting point for researching in this active area, and it should also help the advanced reader to identify open research topics.
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影响因子：
2
作者：
Allmendinger, Richard;Emmerich, Michael T. M.;Rigoni, Enrico
通讯作者：
Rigoni, Enrico
影响因子：
6.8
作者：
Bader, Johannes;Zitzler, Eckart
通讯作者：
Zitzler, Eckart
影响因子：
6.4
作者：
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通讯作者：
Zghal, Walid
影响因子：
14.3
作者：
Branke, Juergen;Greco, Salvatore;Zielniewicz, Piotr
通讯作者：
Zielniewicz, Piotr