Journal of Asian Architecture and Building Engineering
Online ISSN : 1347-2852
Print ISSN : 1346-7581
Building Structures and Materials
An Adaptive Multi-objective Immune Algorithm for Optimal Design of Truss Structures
Liyu XieHesheng TangChangyuan HuSongtao Xue
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2016 Volume 15 Issue 3 Pages 557-564

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Abstract

In this paper, an adaptive immune clone selection algorithm for multi-objective optimization (AICSAMO) is proposed. A novel adaptive polynomial mutation operator with dynamic mutation probability is employed in AICSAMO. This adaptive mutation operator executes a rapid global search at the earlier stage of the algorithm and a fine-tuning search at the later stage of the algorithm, which adopts generation-dependent parameters to improve the convergence speed and global optimum searching ability. The effectiveness of AICSAMO is evaluated through the truss sizing and shape optimization problems of a 10-bar plane truss and a 25-bar space truss. According to the comparison of AICSAMO with various multi-objective optimization algorithms developed recently, the simulation results illustrate that AICSAMO has remarkable performance in finding a wider spread of optimal solutions and in maintaining better uniformity of the solutions with better convergence.

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© 2016 Architectural Institute of Japan
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