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Optimum design of fuzzy controller using hybrid ant lion optimizer and Jaya algorithm

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Abstract

Fuzzy logic controller is the most common and versatile control algorithm in the structural motion control. In most cases, the formulation of the fuzzy controller is based on the human knowledge and expert so the membership functions and the rule base are formulated by trials and errors. In recent years, there is an increasing interest to optimize the fuzzy logic controller with different metaheuristics and nature inspired approaches. This paper focuses on the optimization of a fuzzy controller applied to the seismically excited nonlinear buildings. In the majority of cases, this problem is formulated based on the linear behavior of the structure, however in this paper, objective functions and the performance criteria are considered with respect to the nonlinear responses of the structures. The optimization algorithm is based on the implementation of ant lion optimizer and Jaya algorithm as a hybrid method. The new method is utilized to design a fuzzy controller for two benchmark buildings with nonlinear behavior. The performance of the hybrid method is compared with various classical and advanced optimization algorithms.

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Authors and Affiliations

  1. Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

    Mahdi Azizi, Seyyed Arash Mousavi Ghasemi & Reza Goli Ejlali

  2. Department of Civil Engineering, University of Tabriz, Tabriz, Iran

    Siamak Talatahari

  3. Engineering Faculty, Near East University, North Cyprus, Mersin 10, Turkey

    Siamak Talatahari

Authors
  1. Mahdi Azizi
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  2. Seyyed Arash Mousavi Ghasemi
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  3. Reza Goli Ejlali
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  4. Siamak Talatahari
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Correspondence to Seyyed Arash Mousavi Ghasemi.

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Azizi, M., Mousavi Ghasemi, S., Ejlali, R. et al. Optimum design of fuzzy controller using hybrid ant lion optimizer and Jaya algorithm. Artif Intell Rev 53, 1553–1584 (2020). https://doi.org/10.1007/s10462-019-09713-8

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