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Principles and state-of-the-art of engineering optimization techniques
Mälardalen University, School of Innovation, Design and Engineering. (IS (Embedded Systems))ORCID iD: 0000-0001-9857-4317
Mälardalen University, School of Innovation, Design and Engineering. (IS (Embedded Systems))ORCID iD: 0000-0002-3425-3837
2013 (English)In: Advanced Engineering Computing and Applications in Sciences, Porto, Portugal, 2013, 36-42 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper gives a survey of the principles and the state-of-the-art of engineering optimization techniques. Both the classic and emerging approaches to nonlinear optimization problems are reviewed and analyzed. All the techniques are discussed in two basic types: point-based transition and population-based transition, depending on whether a single point or multiple points are generated as new approximate solution(s) in each step. We also consider multi-objective tasks as new application trend and point out the strong potential of population-based methods to tackle multiple objectives simultaneously.

Place, publisher, year, edition, pages
Porto, Portugal, 2013. 36-42 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-22256ISBN: 978-1-61208-290-5 (print)OAI: oai:DiVA.org:mdh-22256DiVA: diva2:661392
Conference
The Seventh International Conference on Advanced Engineering, Computing and Applications in Sciences, September 29 - October 3, 2013 - Porto, Portugal
Projects
EMOPAC - Evolutionär flerparametrig optimering för tillämpningar inom analog kretsdesign
Available from: 2013-11-03 Created: 2013-10-31 Last updated: 2016-10-26Bibliographically approved

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http://www.thinkmind.org/download.php?articleid=advcomp_2013_2_40_20113

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CiteExportLink to record
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Citation style
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Language
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