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

殘廢的火焰

AGOG

,Apperception: B-Deduction § 16,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.

instill

arabesque

負(fù)擔(dān)

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.

愚蠢人

photophobia

業(yè)余愛好者

ribed 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..978-981-13-4794-8978-981-13-2586-1

FIS

Exterior

Biogeography-Based Optimization,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