GECCO '10 Proceedings of the 12th annual conference on Genetic and Evolutionary Computation
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. Second, we modify BBO to solve constrained optimization problems. The constrained BBO algorithm is compared with solutions based on a genetic algorithm (GA) and particle swarm optimization (PSO). Numerical results indicate that BBO generally performs better than GA and PSO in handling constrained single-objective optimization problems.
Ma, Haiping and Simon, Daniel J., "Biogeography-Based Optimization with Blended Migration for Constrained Optimization Problems" (2010). Electrical Engineering & Computer Science Faculty Publications. 184.
H. Ma and D. Simon. (2010). Biogeography-Based Optimization with Blended Migration for Constrained Optimization Problems. Genetic and Evolutionary Computation Conference, 417-418.
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