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We are analyzing https://link.springer.com/article/10.1007/bf01759923.

Title:
Genetic search strategies in multicriterion optimal design | Structural and Multidisciplinary Optimization
Description:
The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Technology & Computing
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  • Science

Content Management System {πŸ“}

What CMS is link.springer.com built with?

Custom-built

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Traffic Estimate {πŸ“ˆ}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,603,724 visitors per month in the current month.

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How Does Link.springer.com Make Money? {πŸ’Έ}

We're unsure if the website is profiting.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Link.springer.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {πŸ”}

genetic, optimization, design, search, structural, article, algorithms, hajela, google, scholar, optimal, engineering, privacy, cookies, content, information, strategies, publish, lin, designs, systems, integer, discrete, access, springer, function, data, log, journal, research, multicriterion, problems, discover, machine, learning, goldberg, int, conf, university, download, usa, optional, analysis, personal, parties, varying, policy, find, track, published,

Topics {βœ’οΈ}

month download article/chapter cours d'economie politique multi-objective dynamic performance pareto optimal designs multicriterion optimal design multicriterion optimal designs genetic search strategies efficient structural synthesis structural optimization problems structural optimization challenges multiobjective optimum design genetic search methods related subjects discrete programming algorithm discrete design variables privacy choices/manage cookies genetic function optimization full article pdf integer design variables automated structural synthesis optimal design multi-criteria problems nonconvex optimization problem modified mixed integer multimodal function optimization multiple objective criteria genetic search engineering science structural optimization 4 decision support systems european economic area scope submit manuscript life forms share michigan press hwang royal aircraft establishment rensselaer polytechnic institute design variables conditions privacy policy cybernetic solution path accepting optional cookies present paper describes check access instant access main content log article hajela structural systems journal finder publish mixed integer june 1992 volumeΒ 4 sobieski rights

Schema {πŸ—ΊοΈ}

WebPage:
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         headline:Genetic search strategies in multicriterion optimal design
         description:The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.
         datePublished:
         dateModified:
         pageStart:99
         pageEnd:107
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         keywords:
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            Design Variable
            Search Strategy
            Search Method
            Structural System
            Theoretical and Applied Mechanics
            Computational Mathematics and Numerical Analysis
            Engineering Design
         image:
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               name:C. -Y. Lin
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                     name:University of Florida
                     address:
                        name:Aerospace Engineering, Mechanics and Engineering Science, University of Florida, Gainsville, USA
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      headline:Genetic search strategies in multicriterion optimal design
      description:The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.
      datePublished:
      dateModified:
      pageStart:99
      pageEnd:107
      sameAs:https://doi.org/10.1007/BF01759923
      keywords:
         Optimal Design
         Design Variable
         Search Strategy
         Search Method
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         Theoretical and Applied Mechanics
         Computational Mathematics and Numerical Analysis
         Engineering Design
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                     type:PostalAddress
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               name:Aerospace Engineering, Mechanics and Engineering Science, University of Florida, Gainsville, USA
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      name:Mechanical Engineering & Mechanics, Rensselaer Polytechnic Institute, Troy, USA
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External Links {πŸ”—}(36)

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