On the Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques

Ciprian Zavoianu, Susanne Saminger-Platz, Doris Entner, Thorsten Prante, Michael Hellwig, Martin Schwarz, Klara Fink

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We describe an effective optimization strategy that is capable of discovering innovative cost-optimal designs of complete ascent assembly structures. Our approach relies on a continuous 2D model abstraction, an application-inspired multi-objective formulation of the optimal design task and an efficient coevolutionary solver. The obtained results provide empirical support that our novel strategy is able to deliver competitive results for the underlying general optimization challenge: the (obstacle-avoiding) Euclidean Steiner Tree Problem.
Original languageEnglish
Title of host publicationProceedings of the Eurogen 2017 Conference
Place of PublicationMadrid, Spain
PublisherTechnical University of Madrid
Number of pages8
Publication statusPublished - Sept 2017

Fields of science

  • 101 Mathematics
  • 101013 Mathematical logic
  • 101024 Probability theory
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102019 Machine learning
  • 603109 Logic
  • 202027 Mechatronics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing
  • Nano-, Bio- and Polymer-Systems: From Structure to Function

  • AEDA

    Lughofer, E. (Researcher), Zavoianu, C. (Researcher) & Saminger-Platz, S. (PI)

    01.11.2014 → 31.10.2018

    Project: Funded research › FFG - Austrian Research Promotion Agency

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