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Interactive autodidactic school: A new metaheuristic optimization algorithm for solving mathematical and structural design optimization problems
Computers & Structures ( IF 4.7 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.compstruc.2020.106268
Milad Jahangiri , Mohammad Ali Hadianfard , Mohammad Amir Najafgholipour , Mehdi Jahangiri , Mohammad Reza Gerami

Abstract A new efficient and robust metaheuristic algorithm called “Interactive Autodidactic School (IAS)” is proposed in this paper to solve numerical optimization and structural design optimization problems. IAS is a population-based algorithm on the basis of the interactions between students in an autodidactic school with the goal of increasing their knowledge through a combination of self-teaching/self-learning, interactive discussion, criticism, and the competition. IAS is tested in twenty mathematical optimization and seven structural optimization problems. Subsequently, its optimum solution is compared with other well-known optimization algorithms. The obtained results confirmed that the proposed IAS algorithm gives best optimal solution and has excellent performance compared with other optimization methods.

中文翻译:

交互式自学派:一种新的元启发式优化算法,用于解决数学和结构设计优化问题

摘要 为了解决数值优化和结构设计优化问题,提出了一种新的高效鲁棒的元启发式算法,称为“交互式自学学校(IAS)”。IAS 是一种基于人群的算法,基于自学学校学生之间的互动,目标是通过自学/自学、互动讨论、批评和竞赛相结合来增加他们的知识。IAS 在二十个数学优化和七个结构优化问题中进行了测试。随后,将其最优解与其他著名的优化算法进行比较。所得结果证实,所提出的IAS算法给出了最佳最优解,并且与其他优化方法相比具有优异的性能。
更新日期:2020-07-01
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