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•A new metaheuristic algorithm, Interactive Autodidactic School (IAS), is proposed.•IAS is inspired by interactions of a group of autodidactic students.•Twenty mathematical and seven structural design optimization problems are examined.•The results obtained by IAS are compared with other optimization methods.•The obtained results indicate the consummate performance of the IAS algorithm.
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.