Improved Hill Climbing and Simulated Annealing Algorithms for Size Optimization of Trusses
Publish place: 7th National Congress on Civil Engineering
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCCE07_0945
تاریخ نمایه سازی: 16 مهر 1392
Abstract:
Truss optimization problem has been vastly studied during the past 30 years and many different methods have been proposed for this problem. Even though most of these methods assume that the design variables are continuously valued, in reality, the design variables of optimization problems such as cross-sectional areas are discretely valued. In this paper, an improved hill climbing and an improved simulated annealing algorithm have been proposed to solve the truss optimization problem with discrete values for cross-sectional areas. Obtained results have been compared to other methods in the literature and the comparison represents that the proposed methods can be used more efficiently than other proposed methods.
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Authors
Morteza Kazemi Torbaghan
Department of Civil Engineering, Kashmar branch, Islamic Azad University, Kashmar, Iran
Seyyed Mehran Kazemi
Computer Science Department, University of British Columbia
Rahele Zhiani
Department of Chemistry, Neyshabur branch, Islamic Azad University, Neyshabur, Iran
Hamed Fakhriye
Department of Civil Engineering, Kashmar branch, Islamic Azad University, Kashmar, Iran
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