Chinese e-commerce colossus JD.com has struck a partnership deal with international consumer goods giant Unilever, saying that it will open its nationwide warehousing and logistics network to the latter, which seeks to enhance its presence in China’s rural and remote areas.

福克斯错误地理解了马克思的生产性劳动理论，认为互联网用户活动是一种无意识的劳动生产行为，可以通过劳动为资本创造价值。用户上传到网络上的个人信息、社交网络中的行为、个人兴趣偏好、浏览网页记录都会作为商品以一定的价格出售给广告商[注]Fuchs, Christian,Digital Labour and Karl Marx, New York: Routledge, 2014, p.90.。这种观点乍一看似乎符合马克思对生产性劳动的定义，但实际上他错误地理解马克思对生产性劳动的定义。

UK and Netherlands-based transnational consumer-goods conglomerate Unilever has cultivated mature and stable markets in Beijing, Shanghai, Guangzhou and other first- and second-tier cities,but deficient logistics have hampered its brand influence and reach into small and medium cities and remote areas. The consumer goods giant has thus decided to join with JD.Com to tap into emerging markets as the buying power of China’s rural consumers is on the rise.

JD.Com’s logistics network has achieved 100% coverage of administrative regions and counties in mainland China, with more than 250,000 logistics service vehicles, over 5 million personnel, and 300,000-plus terminal service outlets. The e-commerce giant also boasts resource superiority in big data,marketing, supply chain management, and in other areas.

The pair can integrate their budget planning, smart goods restocking, inventory distribution and full supply chain visualization services per the cooperation, said Unilever North Asia executive vice president Rohit Jawa. With JD.Com’s logistics network and capacity,Unilever will be able to extend the reach of its products to more Chinese consumers.

粒子群优化算法是一种群体智能算法，它起源于对鸟类觅食行为的研究，这种优化算法具有较强的全局优化能力并且收敛速度较快，它的缺点是在求解高维优化问题时存在容易早熟的问题。PSO算法把待求解问题的解用解空间中粒子的形式表示，每个粒子可以按照一定的速度在解空间中自由飞行，标准粒子群优化学习算法的数学模型如下式8]：

JD.Com and Unilever have already embarked on previous cooperation in green logistics. The companies plan to adopt conveyor belt loading in some regions, which can replace traditional bulk container loading and thus save greatly on cargo vehicles, waiting time and manpower.