Migration in biogeography-based optimization

Abstract

Biogeography-based optimization is meta-heuristic algorithm introduced by Dan Simon in early 2008. BBO’s capability of solving complex optimization problem is similar to that of PSO, ACO, ABC, DE, and GA. For ameliorating its strength to solving optimization problem relative to other heuristic techniques, it is required to modify the original BBO. Migration and mutation operator are two crucial features in BBO. Migration operator largely affects the performance of BBO. Therefore, for the improvement in BBO, migration is a potential step to modify. This paper studies the new migration operator in BBO which maintains both exploitation and exploration and provides a computational efficiency. The performance of proposed BBO is explored over 20 test problems and compared with basic BBO. Results show that proposed BBO algorithm outperforms over basic BBO algorithm.