Performance of Teaching Learning Based Optimization Algorithm with Various Teaching Factor Values for Solving Optimization Problems

M Ramakrishna Murty,P V G D Prasad Reddy,J V R Murthy,Anima Naik,Suresh Chandra Satapathy

doi:10.1007/978-3-319-02931-3_25

Performance of Teaching Learning Based Optimization Algorithm with Various Teaching Factor Values for Solving Optimization Problems

M Ramakrishna Murty, P V G D Prasad Reddy + Show 3 more

https://doi.org/10.1007/978-3-319-02931-3_25

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Publication Date: Jan 1, 2014

Citations: 4

Affiliation: Andhra University, Jawaharlal Nehru Technological University, Kakinada, Moscow Institute of Thermal Technology, Advanced Network and Services (United States)

#Teaching Learning Based Optimization Algorithm #Teaching Learning Based Optimization + Show 8 more

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Abstract

Teaching Learning Based Optimization (TLBO) is being used as a new, reliable, accurate and robust optimization technique scheme for global optimization over continuous spaces. This paper presents an effect of variation of a teaching factor TF in traditional TLBO algorithm and then proposed a value for teaching factor TF. The traditional TLBO algorithm with new teaching factor TF value has been tested on several benchmark functions and shown to be statistically significantly better than other teaching factor values for performance measures in terms of faster convergence behavior.

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