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A Hybrid TLBO Algorithm by Quadratic Approximation for Function Optimization and Its Application

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 172))

Abstract

Recently hybrid optimization algorithms enjoy growing attention in the optimization community. However, over the last two decades, many new hybrid meta-heuristics optimization techniques are developed and are still developing. On the hybrid optimization algorithm, the most common criticism is that they are not well balanced in respect of the local search and global search of the algorithm. Viewing this, in the present work a modified adaptive based teaching factor is suggested for the basic TLBO algorithm. Also, a novel hybrid approach is proposed that combines the Teaching Learning Base Optimization (TLBO) Algorithm and Quadratic approximation (QA). The QA is applied to improve the global as well as local search capability of the method that also represents the characters of “Teacher Refresh”. For the performance investigation, the suggested algorithm is involved to solve twenty classical optimization functions and one real life optimization problem and the performances are differentiated with different state-of-the-arts methods in terms of numerical results of the solution.

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Acknowledgements

The authors would like to thank Dr. P. N. Suganthan, School of Electrical and Electronic Engineering, NTU, Singapore for shearing the source codes of PSO variants. Also thanks to the editors, anonymous referees for their valuable suggestion towards improving the book chapter.

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Authors and Affiliations

  1. Department of Mathematics, Ramthakur College, A.D. Nagar, Agartala, West Tripura, 799003, Tripura, India

    Sukanta Nama

  2. Department of Mathematics, National Institute of Technology Agartala, Barjala, Jirania, Agartala, 799046, Tripura, India

    Apu Kumar Saha & Sushmita Sharma

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  1. Sukanta Nama
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  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  2. Department of Computer Science and Engineering, LNCT Group of Colleges, Jabalpur, Madhya Pradesh, India

    Raghvendra Kumar

  3. Department of Computer Science and Engineering, DIT University, Dehradun, Uttarakhand, India

    Rajshree Srivastava

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Nama, S., Saha, A.K., Sharma, S. (2020). A Hybrid TLBO Algorithm by Quadratic Approximation for Function Optimization and Its Application. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_30

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