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Multi-Population Parallel Imperialist Competitive Algorithm for Solving Systems of Nonlinear Equations
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2016 (English)In: 2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2016), IEEE, 2016, p. 767-775Conference paper, Published paper (Refereed)
Abstract [en]

the widespreadimportance of optimization and solving NP-hard problems, like solving systems of nonlinear equations, is indisputable in a diverse range of sciences. Vast uses of non-linear equations are undeniable. Some of their applications are in economics, engineering, chemistry, mechanics, medicine, and robotics. There are different types of methods of solving the systems of nonlinear equations. One of the most popular of them is Evolutionary Computing (EC). This paper presents an evolutionary algorithm that is called Parallel Imperialist Competitive Algorithm (PICA) which is based on a multi population technique for solving systems of nonlinear equations. In order to demonstrate the efficiency of the proposed approach, some well-known problems are utilized. The results indicate that the PICA has a high success and a quick convergence rate.

Place, publisher, year, edition, pages
IEEE, 2016. p. 767-775
Keywords [en]
parallel imperialist competitive algorithm (PICA), multi-population technique, evolutionary computing (EC), super linear performance, nonlinear equations, multi objective optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-200032DOI: 10.1109/HPCSim.2016.7568412ISI: 000389590600104Scopus ID: 2-s2.0-84991660856ISBN: 978-1-5090-2088-1 (print)OAI: oai:DiVA.org:kth-200032DiVA, id: diva2:1069558
Conference
14th International Conference on High Performance Computing & Simulation (HPCS), JUL 18-22, 2016, Innsbruck, AUSTRIA
Note

QC 20170130

Available from: 2017-01-30 Created: 2017-01-20 Last updated: 2017-01-30Bibliographically approved

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Daneshtalab, MasoudTenhunen, Hannu

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf