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

臭了生氣

Synthesis, Intuition and Mathematics,, 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.

鍍金

Summary: The Catalogue of Design Features,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.

復(fù)習(xí)

https://doi.org/10.1007/978-981-13-2586-1Biogeography-based optimization; Evolutionary Computation; Meta-Heuristic Algorithms; bio-inspired comp

乏味

flaunt

Negligible

暗指

等待

Are Transcendental Deductions Impossible?O) is a heuristic inspired by biogeography for optimization problems, where each solution is analogous to a habitat with an immigration rate and an emigration rate. BBO evolves a population of solutions by continuously migrating features probably from good solutions to poor solutions. This chapter i

共和國

myopia

,Kant’s Theory of Natural Science,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