Obtain the optimal of logistics delivery network with annealing algorithm

Simulated annealing(SA) algorithm is a heuristic algorithm,proposed one approximation algorithm of solving optimization combinatorial problems inspired by objects in the annealing process of heating crunch. The algorithm is superior to the traditional greedy algorithm,which avoids falling into local optimum and reaches global optimum. There are often some problems to find the shortest path,etc in the logistics and distribution network, and we need optimization for logistics and distribution path in order to achieve the shortest,best,most economical,and so on. The paper uses an example of SA algorithm validation to verify it,and the method is proved to be feasible.

当创意遇到智能:人与AI协同的产品创新案例研究

随着市场供给的竞争加剧和消费需求的快速多变,企业既希望能创造原创性的产品,又希望能高效匹配用户的异质需求,二者兼顾对产品创新而言是巨大挑战。然而,AI的出现为应对这一挑战提供了条件。本文基于一家智能创意广告企业的案例研究发现,在复杂多变的环境下,人与AI的协同既能有助于实现创意的多样化,又能有效匹配用户的异质需求,据此提出人与AI协同的产品创新模式。研究表明:(1)大数据构成人与AI协同的产品创新资源基础,AI智能设计、联合计算和即时分析构成人与AI协同的产品创新能力基础;(2)产品创意智能化、异质匹配与市场洞察、产品创意更新构成人与AI协同的产品创新过程机制;(3)人与AI的协同不仅有助于促进产品创意与用户异质需求的匹配,还有助于启发人的创意思维,从而实现创意与效率的平衡。由此,将现有AI作为产品创新辅助工具的研究拓展为AI作为创新主体与人协同创新的研究,提出人与AI协同的产品创新启发式验证,区别于以往研究的经验验证与数据验证而形成创新,丰富数字经济时代的产品创新理论内涵,为企业应对产品创新中创意与效率的兼顾难题提供启示。