Elitist Self-Adaptive Step-Size Search in Optimum Sizing of Steel Structures

O., HASANCEBI and S., KAZEMZADEH AZAD (2014) Elitist Self-Adaptive Step-Size Search in Optimum Sizing of Steel Structures. In: International Conference on Advances In Civil and Structural Engineering - CSE 2014, 02 - 03 August, 2014, Kuala Lumpur, Malaysia.

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Abstract

This paper covers application of an elitist self-adaptive step-size search (ESASS) to optimum design of steel frame structures. In the ESASS two approaches are considered for improving the convergence accuracy as well as the computational efficiency of the original technique namely the so called self-adaptive step-size search (SASS). Firstly, an additional randomness is incorporated into the sampling step of the technique to preserve exploration capability of the algorithm during the optimization. Moreover, an adaptive sampling scheme is introduced to improve the quality of final solutions. Secondly, computational efficiency of the technique is accelerated via avoiding unnecessary analyses during the optimization process using an upper bound strategy. The numerical results demonstrate the usefulness of the ESASS in the sizing optimization problems of steel frame structures.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Structural design optimization, optimal sizing, metaheuristics, self-adaptive step-size search, steel frames.
Depositing User: Mr. John Steve
Date Deposited: 27 May 2019 12:14
Last Modified: 27 May 2019 12:14
URI: http://publications.theired.org/id/eprint/2816

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