Teaching learning based optimization-a review on background and development.

Teaching-Learning Based Optimization (TLBO) approach is widely accepted in numerous engineering applications. Despite the similarity of this algorithm to other Meta-heuristic techniques in terms of employing a set of solution and stochastic nature, the inspiration of algorithm is unique. This paper aims at discussing the position of TLBO within the do-main of Nature-Inspired Algorithms (NIA). The effectiveness of this simple and robust paradigm in the fields of engineering and sciences is gaining popularity rapidly due to its less complex approach in tuning with the algorithm and other common parameters like population size, number of iterations and stopping criteria, etc. The paper also highlights the development, mechanism, mathematical formulation and algorithm of TLBO. Furthermore, it is concluded that TLBO is a promising variant in the class of stochastic methods that can be extended to find solutions of challenging real-world problems. The review is expected to be useful for the freshers in research area of Optimization techniques. [ABSTRACT FROM AUTHOR]