e-constraint guided stochastic search with successive seeding for multi-objective optimization of large-scale steel double-layer grids

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2022

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Elsevier

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Civil Engineering
(2000)
The Atılım University Department of Civil Engineering was founded in 2000 as a pioneer for the Departments of Civil Engineering among the foundation schools of Ankara. It offers education in English. The Department of Civil Engineering has an academic staff qualified in all areas of the education offered. In addition to a high level of academic learning that benefits from learning opportunities through practice at its seven laboratories, the Department also offers a Cooperative Education program conducted in cooperation with renowned organizations in the construction sector. Accredited by MÜDEK (Association of Evaluation and Accreditation of Engineering Programs) (in 2018), our Department has been granted the longest period of accreditation to ever achieve through the association (six years). The accreditation is recognized by ENAEE (European Network for Accreditation of Engineering Education), and other international accreditation boards.
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Department of Civil Engineering
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Abstract

This paper proposes a design-driven structural optimization algorithm named e-constraint guided stochastic search (e-GSS) for multi-objective design optimization of large-scale steel double-layer grids having numerous discrete design variables. Based on the well-known e-constraint method, first, the multi-objective optimization problem is transformed into a set of single-objective optimization problems. Next, each single-objective optimization problem is tackled using an enhanced reformulation of the standard guided stochastic search algorithm proposed based on a stochastic maximum incremental/decremental step size approach. Moreover, a successive seeding strategy is employed in conjunction with the proposed e-GSS algorithm to improve its performance in multi-objective optimization of large-scale steel double-layer grids. The numerical results obtained through multi-objective optimization of three challenging test examples, namely a 1728-member double-layer compound barrel vault, a 2304-member double-layer scallop dome, and a 2400-member double-layer multi-radial dome, demonstrate the usefulness of the proposed e-GSS algorithm in generating Pareto fronts of the foregoing multi-objective structural optimization problems with up to 2400 distinct sizing variables.

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Aminbakhsh, Saman/0000-0002-4389-1910; Kazemzadeh Azad, Saeid/0000-0001-9309-607X

Keywords

Multi-objective optimization, Structural optimization, Steel double-layer grids, e-constraint method, Guided stochastic search, High-dimensional optimization

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5

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46

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https://doi.org/10.1016/j.jobe.2021.103767
 https://hdl.handle.net/20.500.14411/1846

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