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Titlebook: Biogeography-Based Optimization: Algorithms and Applications; Yujun Zheng,Xueqin Lu,Shengyong Chen Book 2019 Springer Nature Singapore Pte

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Ecogeography-Based Optimization: Enhanced by Ecogeographic Barriers and Differentiations,s two novel migration operators, named local migration and global migration, which borrow ideas from the migration models of ecogeography to enrich information sharing among the solutions. This chapter introduces the EBO algorithm in detail and shows its significant improvement over the basic BBO an
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Application of Biogeography-Based Optimization in Transportation,s can be modeled as combinatorial optimization problems. Nowadays, with the development of transportation systems, most of such problems are high-dimensional and/or NP-hard. In recent years, we have adapted BBO algorithm to a variety of transportation problems and achieved good results.
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Application of Biogeography-Based Optimization in Image Processing,, we use BBO and its improved versions to a set of optimization problems in image processing, including image compression, salient object detection, and image segmentation. The results demonstrate the effectiveness of BBO in optimization problems in image processing.
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Biogeography-Based Optimization in Machine Learning,ted by structural design and parameter selection. This chapter introduces how to use BBO and its variants for optimizing structures and parameters of ANNs. The results show that BBO is a powerful method for enhancing the performance of many machine learning models.
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Book 2019n. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter..
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