DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization

By Wenyin Gong, Zhihua Cai, Charles X. F. Ling. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2010

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Low Sampling Rate Online Parameters Monitoring of DC–DC Converters for Predictive-Maintenance Using Biogeography-Based Optimization (2016, methodology): “Most of the BBO parameters such as FEmax , Nls ,nls , and Nri values are determined using nominal values as in other research works [24], [25].”
Hybrid Differential Evolution With Biogeography-Based Optimization for Solution of Economic Load Dispatch (2010, methodology): “Detail hybrid method is given in Algorithm 4. For more information, refer to [ 23 ].”
Oppositional biogeography-based optimization (2009, methodology): “While statistical foundations for BBO are being developed [122, 123], BBO has been combined with other EAs such as ES [124], DE [125], PSO [120], and flower pollination by artificial bees [126] to form hybrids.”
Biogeography-based optimisation with chaos (2014, neutral): “In this method the exploration was done by DE, whereas BBO performed the exploitation [24].”
Modified Grey Wolf Optimizer for Global Engineering Optimization (2016, methodology): “Some of the evolutionary algorithms are Genetic Algorithm (GA) [1], Evolution Strategies (ES) [2], Genetic Programming (GP) [3], Differential Evolution (DE) [4], and Biogeography-Based Optimization (BBO) [5–9].”