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Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism

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Title: Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
Authors: Mazhoud, Issam1, Hadj-Hamou, Khaled Khaled.Hadj-Hamou@grenoble-inp.fr, Bigeon, Jean1, Joyeux, Patrice1
Source: Engineering Applications of Artificial Intelligence. Apr2013, Vol. 26 Issue 4, p1263-1273. 11p.
Subjects: Particle swarm optimization, Problem solving, Algorithms, Optimal designs (Statistics), Electric actuators, Interval analysis
Abstract: Abstract: This paper addresses constrained and optimal engineering problems solved using an adapted particle swarm optimization (PSO) algorithm. In fact, a specific constraint-handling mechanism is presented. It consists of a closeness evaluation of the solutions to the feasible region. The total constraints violation is introduced as an objective function to minimize. Interval arithmetic is used to normalize the total violations. The resulting objective problem is solved using a simple lexicographic method. The new algorithm is called CVI-PSO for constraint violation with interval arithmetic PSO. The paper provides numerous experimental results based on a well-known benchmark and comparisons with previously reported results. Finally, a case study of the optimal design of an electrical actuator with several model reformulations is detailed. [Copyright &y& Elsevier]
Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 86370228
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
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  Data: <searchLink fieldCode="AR" term="%22Mazhoud%2C+Issam%22">Mazhoud, Issam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hadj-Hamou%2C+Khaled%22">Hadj-Hamou, Khaled</searchLink><i> Khaled.Hadj-Hamou@grenoble-inp.fr</i><br /><searchLink fieldCode="AR" term="%22Bigeon%2C+Jean%22">Bigeon, Jean</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Joyeux%2C+Patrice%22">Joyeux, Patrice</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>. Apr2013, Vol. 26 Issue 4, p1263-1273. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Optimal+designs+%28Statistics%29%22">Optimal designs (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+actuators%22">Electric actuators</searchLink><br /><searchLink fieldCode="DE" term="%22Interval+analysis%22">Interval analysis</searchLink>
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  Data: Abstract: This paper addresses constrained and optimal engineering problems solved using an adapted particle swarm optimization (PSO) algorithm. In fact, a specific constraint-handling mechanism is presented. It consists of a closeness evaluation of the solutions to the feasible region. The total constraints violation is introduced as an objective function to minimize. Interval arithmetic is used to normalize the total violations. The resulting objective problem is solved using a simple lexicographic method. The new algorithm is called CVI-PSO for constraint violation with interval arithmetic PSO. The paper provides numerous experimental results based on a well-known benchmark and comparisons with previously reported results. Finally, a case study of the optimal design of an electrical actuator with several model reformulations is detailed. [Copyright &y& Elsevier]
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  Group: Ab
  Data: <i>Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.engappai.2013.02.002
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1263
    Subjects:
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Problem solving
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Optimal designs (Statistics)
        Type: general
      – SubjectFull: Electric actuators
        Type: general
      – SubjectFull: Interval analysis
        Type: general
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      – TitleFull: Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
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            NameFull: Bigeon, Jean
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              M: 04
              Text: Apr2013
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              Y: 2013
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