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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.
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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 {βοΈ}
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
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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.
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Optimal Design
Design Variable
Search Strategy
Search Method
Structural System
Theoretical and Applied Mechanics
Computational Mathematics and Numerical Analysis
Engineering Design
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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.
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Search Strategy
Search Method
Structural System
Theoretical and Applied Mechanics
Computational Mathematics and Numerical Analysis
Engineering Design
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