ORCID Profile
0000-0002-2639-0292
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Publisher: Springer Science and Business Media LLC
Date: 23-06-2018
Publisher: Wiley
Date: 26-09-2018
DOI: 10.1002/EQE.2982
Publisher: Elsevier BV
Date: 2017
Publisher: SAGE Publications
Date: 06-2013
DOI: 10.1260/1369-4332.16.6.1035
Abstract: One main shortcoming of metaheuristic search techniques in structural optimization is the large number of time-consuming structural analyses required for convergence to a reasonable solution. This study is an attempt to apply the so-called upper bound strategy (UBS) as a simple, yet an efficient strategy to reduce the total number of structural analyses through avoiding unnecessary analyses during the course of optimization. Although, the usefulness of the UBS is demonstrated in conjunction with a big bang-big crunch algorithm developed for optimum design of truss structures, it can be integrated with any other metaheuristic technique which works on the basis of (μ+Λ) evolutionary model. The numerical investigations over three benchmark truss optimization instances reveal that the UBS can reduce the total number of required structural analyses of the standard BB-BC algorithm to a great extent.
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 06-2017
Publisher: Wiley
Date: 14-05-2019
DOI: 10.1002/EQE.3181
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 02-2020
Publisher: The Hong Kong Institute of Steel Construction
Date: 12-12-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2018
Publisher: Elsevier BV
Date: 03-2020
Publisher: Unpublished
Date: 2012
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 03-2013
Location: Iran (Islamic Republic of)
No related grants have been discovered for Sina Kazemzadeh Azad.