Abstract
Biogeography-based optimization is a recent addition in the class of population based gradient free search algorithms. Due to its simplicity in implementation and presence of very few tuning parameters, it has become very popular in very short span of time. From its inception in 2008, it has seen many changes in different steps of the algorithms. This paper incorporates the modified blended migration and polynomial mutation in the basic version of BBO. The proposed BBO is named as BBO with modified blended crossover and polynomial mutation (BBO-MBLX-PM). The performance of proposed BBO is explored over 20 test problems and compared with basic BBO as well as blended BBO. Results show that BBO-MBLX-PM outperforms over BBO and other considered variants of BBO.
Published Version
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