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Polar Bear Optimization (PBO) is a nature-inspired Optimization algorithm proposed by David et al. in 2017. The inspiration for PBO comes from the hunting styles that Polar bears rely on to survive in the harsh arctic environment. PBO is a novel intelligent optimization algorithm presented only in recent years. Therefore, there are few descriptions and applications of PBO algorithm in openly published Chinese literature.In this paper, the development background of PBO is repeated and the relevant operators and detailed executive steps are introduced. Finally,the application fields and practical effects of PBO in real world are well displayed.