Modified Biogeography Based Optimization (MBBO)

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Komal Mehta, Raju Pal

Abstract

Biogeography based optimization is most familiar meta-heuristic optimization technique based on biogeography concept. In BBO, a solution of any problem is the habitat and the features of that habitat are suitability index variable (SIV). The SIV values are used by transition operators (migration and mutation).In this paper, we proposed modified BBO (MBBO) which improves the transition operators by introducing exponential average of best solutions. We applied MBBO and some other optimization algorithms (such as BBO, Blended BBO, GA and PSO) on 19 benchmark functions to demonstrate the performance. The proposed MBBO shows outperform on most of the functions.

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How to Cite
, K. M. R. P. (2018). Modified Biogeography Based Optimization (MBBO). International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 124–129. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/978
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