期刊名称：Journal of Asian Architecture and Building Engineering
印刷版ISSN：1346-7581
电子版ISSN：1347-2852
出版年度：2016
卷号：15
期号：3
页码：557-564
DOI：10.3130/jaabe.15.557
语种：English
出版社：日本建築学会、大韓建築学会、中国建築学会
摘要：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.
关键词：immune algorithm;multi-objective optimization;adaptive mutation;sizing and shape optimization;truss structure
