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Effect of Combining Teaching Learning-Based Optimization (TLBO) with Different Search Techniques

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Reliability and Risk Assessment in Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

This paper investigates the effect to ensemble teaching learning-based optimization (TLBO) with other meta-heuristics methods like artificial bee colony (ABC), biogeography-based optimization (BBO), differential evolution (DE) and genetic algorithm (GA). Three different schemes to generate sub-population from the main population are proposed, and the effect of migration of solutions from one sub-population to the other is also explored. The experiments are performed on different unconstrained and constrained benchmark optimization problems. The results are investigated using the statistical test like Friedman rank test and Holm-Sidak post hoc test. The results reveal that the ensemble of different optimization methods is effective than the basic algorithms.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, 382007, India

    Jaydeep Patel, Vimal Savsani & Vivek Patel

Authors
  1. Jaydeep Patel
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  2. Vimal Savsani
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  3. Vivek Patel
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Corresponding author

Correspondence to Vivek Patel .

Editor information

Editors and Affiliations

  1. Discipline of Mechanical Engineering, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Jabalpur, Madhya Pradesh, India

    Vijay Kumar Gupta

  2. Reactor Group, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India

    Prabhakar V. Varde

  3. Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    P. K. Kankar

  4. Research Reactor Services Division, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India

    Narendra Joshi

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Patel, J., Savsani, V., Patel, V. (2020). Effect of Combining Teaching Learning-Based Optimization (TLBO) with Different Search Techniques. In: Gupta, V., Varde, P., Kankar, P., Joshi, N. (eds) Reliability and Risk Assessment in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3746-2_33

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  • DOI: https://doi.org/10.1007/978-981-15-3746-2_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3745-5

  • Online ISBN: 978-981-15-3746-2

  • eBook Packages: EngineeringEngineering (R0)

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