We are analyzing https://link.springer.com/chapter/10.1007/3-540-44719-9_16.

Title:
A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II | SpringerLink
Description:
Many real-world scientific and engineering applications involve finding innovative solutions to “hard” Multiobjective Optimization Problems (MOP). Various Multiobjective Evolutionary Algorithms (MOEA) have been developed to obtain MOP Pareto solutions. A...
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Keywords {🔍}

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Topics {✒️}

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Schema {🗺️}

ScholarlyArticle:
      headline:A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II
      pageEnd:240
      pageStart:226
      image:https://media.springernature.com/w153/springer-static/cover/book/978-3-540-44719-1.jpg
      genre:
         Computer Science
         Computer Science (R0)
      isPartOf:
         name:Evolutionary Multi-Criterion Optimization
         isbn:
            978-3-540-44719-1
            978-3-540-41745-3
         type:Book
      publisher:
         name:Springer Berlin Heidelberg
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Jesse B. Zydallis
            affiliation:
                  name:Air Force Institute of Technology
                  address:
                     name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:David A. Van Veldhuizen
            affiliation:
                  name:Air Force Research Laboratory
                  address:
                     name:Optical Radiation Branch, Air Force Research Laboratory, TX, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Gary B. Lamont
            affiliation:
                  name:Air Force Institute of Technology
                  address:
                     name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:Pareto Front, Test Suite, Generational Distance, Pareto Optimal Solution, Multiobjective Problem
      description:Many real-world scientific and engineering applications involve finding innovative solutions to “hard” Multiobjective Optimization Problems (MOP). Various Multiobjective Evolutionary Algorithms (MOEA) have been developed to obtain MOP Pareto solutions. A particular exciting MOEA is the MOMGA which is an extension of the single-objective building block (BB) based messy Genetic Algorithm. The intent of this discussion is to illustrate that modifications made to the Multi-Objective messy GA (MOMGA) have further improved its efficiency resulting in the MOMGA-II. The MOMGA-II uses a probabilistic BB approach to initializing the population referred to as Probabilistically Complete Initialization. This has the effect of improving the efficiency of the MOMGA through the reduction of computational bottle-necks. Similar statistical results have been obtained using the MOMGA-II as compared to the results of the original MOMGA as well as those obtained by other MOEAs as tested with standard generic MOP test suites.
      datePublished:2001
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Book:
      name:Evolutionary Multi-Criterion Optimization
      isbn:
         978-3-540-44719-1
         978-3-540-41745-3
Organization:
      name:Springer Berlin Heidelberg
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Air Force Institute of Technology
      address:
         name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
         type:PostalAddress
      name:Air Force Research Laboratory
      address:
         name:Optical Radiation Branch, Air Force Research Laboratory, TX, USA
         type:PostalAddress
      name:Air Force Institute of Technology
      address:
         name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
         type:PostalAddress
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      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Jesse B. Zydallis
      affiliation:
            name:Air Force Institute of Technology
            address:
               name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
               type:PostalAddress
            type:Organization
      name:David A. Van Veldhuizen
      affiliation:
            name:Air Force Research Laboratory
            address:
               name:Optical Radiation Branch, Air Force Research Laboratory, TX, USA
               type:PostalAddress
            type:Organization
      name:Gary B. Lamont
      affiliation:
            name:Air Force Institute of Technology
            address:
               name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
      name:Optical Radiation Branch, Air Force Research Laboratory, TX, USA
      name:Dept of Electrical and Computer Engineering, Air Force Institute of Technology, USA
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