Work

Introducing Multiobjective Complex Systems

Year: 2018

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1811.06431

Authors: Dietz, Tobias, Klamroth, Kathrin, Kraus, Konstantin, Ruzika, Stefan, Schäfer, Luca E., Schulze, Britta, Stiglmayr, Michael, Wiecek, Margaret M.

Institutions: University of Kaiserslautern, University of Wuppertal, Clemson University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Office of Naval Research

Awards: G1171012749, Verbundprojekt: Organisierte Umzüge und Demonstrationen im Öffentlichen Raum: Planung und Krisenmanagement bei hohem Konfliktpotenzial in Städten (OPMOPS) - Teilvorhaben: Routen-, Personal- und Kameraplanung, Sozialwissenschaftliche Untersuchungen sozialer, organisatorischer, emotionaler und ethischer Aspekte, G2724486860, G5242877150, G8876996369

OpenAlex ID: W2962006761

Cites: 36

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