Co-evolutionary optimization for multi-objective design under uncertainty (Record no. 21080)

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control field 20240528115200.0
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fixed length control field 240528b xxu||||| |||| 00| 0 eng d
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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 23488
Author Coelho, Rajan Filomeno
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Title Co-evolutionary optimization for multi-objective design under uncertainty
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Volume, Issue number Vol.135(2), Feb
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Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. ASME
Year 2013
300 ## - PHYSICAL DESCRIPTION
Pagination 1-8p.
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Summary, etc. This paper focuses on multi-objective optimization under uncertainty for mechanical design, through a reliability-based formulation referring to the concept of probabilistic nondominance. To address this problem, the implementation of a co-evolutionary strategy is advocated, consisting of the concurrent evolution of two intertwined populations optimized according to coupled subproblems: the upper level optimizer handles the design variables, whereas the corresponding values of the probabilistic thresholds for the objectives (namely the reliable nondominated front) are retrieved at the lower stage. The proposed methodology is successfully applied to six analytical test cases, as well as to the sizing optimization of two truss structures, demonstrating an improved capacity to cover wider ranges of the reliable nondominated front in comparison with all-at-once strategies tackling all types of variables simultaneously.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4626
Topical term or geographic name entry element Mechanical Engineering
773 0# - HOST ITEM ENTRY
Title Journal of mechanical design
Place, publisher, and date of publication New York ASME
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URL https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/135/2/021006/375754/Co-Evolutionary-Optimization-for-Multi-Objective?redirectedFrom=fulltext
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Koha item type Articles Abstract Database
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          School of Engineering & Technology School of Engineering & Technology Archieval Section 2024-05-28 2024-0648 2024-05-28 2024-05-28 Articles Abstract Database
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