Introducing multiobjective complex systems
Introducing multiobjective complex systems
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DOI：
10.1016/j.ejor.2019.07.027
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发表时间：
2020-01-16
影响因子：
6.4
通讯作者：
Wiecek, Margaret M.
中科院分区：
文献类型：
--
作者：
Dietz, Tobias;Klamroth, Kathrin;Wiecek, Margaret M.
本文重点研究由多个子系统组成的复杂系统的优化问题。一方面，这些子系统受到多个目标，局部约束以及局部变量，它们与自己的，子系统相关的决策者。另一方面，这些子系统通过全局变量或链接约束相互连接。由于这些相互依赖性，通常不可能简单地单独优化每个子系统以提高整个系统的性能。本文介绍了一个正式的基于图形的表示这样的复杂系统，并概括了经典的可行性和最优性的概念，以配合这种复杂的情况。此外，几种算法的方法，建议和分析。(C)2019爱思唯尔B.V.保留所有权利。
This article focuses on the optimization of a complex system which is composed of several subsystems. On the one hand, these subsystems are subject to multiple objectives, local constraints as well as local variables, and they are associated with an own, subsystem-dependent decision maker. On the other hand, these subsystems are interconnected to each other by global variables or linking constraints. Due to these interdependencies, it is in general not possible to simply optimize each subsystem individually to improve the performance of the overall system. This article introduces a formal graph-based representation of such complex systems and generalizes the classical notions of feasibility and optimality to match this complex situation. Moreover, several algorithmic approaches are suggested and analyzed. (C) 2019 Elsevier B.V. All rights reserved.