Multiobjective Biogeography-Based Optimization Based on Predator-Prey Approach for the Brushless DC Wheel Motor Problem

摘要

Biogeography is the science that studies the geographical distribution and the migration of species in an ecosystem. In this paper, a multiobjective biogeography-based optimization (BBO) combined with a predator-prey (PPBBO) approach is proposed and validated in the constrained design of a brushless DC (Direct Current) wheel motor. Results demonstrated that the proposed PPBBO approach converged to promising solutions in terms of quality and dominance when compared with the classical BBO in a multiobjective version.