A clustering algorithm is a solution for grouping a set of objects and for distribution centre location problems. But the common K-means clustering algorithm may give local optimal solutions. Swarm intelligent algorithms simulate the social behaviours of animals and avoid local optimal solutions. We employ three swarm intelligent algorithms to avoid these solutions. We propose a new algorithm for the clustering problem, the fruit-fly optimization K-means algorithm (FOA K-means). We designed a distribution centre location problem and three clustering indicators to evaluate the performance of algorithms. We compare the algorithms of K-means with the ant colony optimization algorithm (ACO K-means), particle swarm optimization algorithm (PSO K-means), and fruit-fly optimization algorithm. We find K-Means modified by the fruit-fly optimization algorithm (FOA K-means) has the best performance on convergence speed and three clustering indicators, compactness, separation, and integration. Thus, we can apply FOA K-means to improve the distribution centre location solution and the efficiency for distribution in the future.

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We examined the interaction effect of supportive supervision and postgraduate students' core self-evaluations on academic creativity, as well as the mediating role of creative self-efficacy in this effect. Participants were 348 Chinese postgraduate students. The results show that supportive supervision was positively associated with students' academic creativity, and that creative self-efficacy mediated this association. Students' core self-evaluations and supportive supervision had a synergistic interactive effect on creative self-efficacy, and creative self-efficacy partially mediated the interactive effect of supportive supervision and core self-evaluations on students' academic creativity. The positive indirect effect of supportive supervision on students' academic creativity through creative self-efficacy was stronger when core self-evaluations were highly positive, compared to when they were less positive. The implications of these findings are discussed.

In order to understand whether Guangdong's foreign trade is coordinated with ecological environment, we use the emergy ecological footprint model to analyze the current status of emergy ecological footprint of Guangdong's foreign trade which is divided into biological resource account, energy account, and industrial products account from the year 2008 to 2018. The results show the trade of biological resources account and energy account are ecological reserve and the trade of industrial products is ecological deficit, which means the trade is coordinated with ecological environment in biological resources account and energy account and is not coordinated with ecological environment in industrial products accounts .We also propose that the coordinated development of Guangdong’s foreign trade and the ecological environment needs to focus on the protection of cropland, grazing land, forest land, fishing ground, the improvement of energy efficiency, increasing investment in high-tech research and development, strengthen the pollution control and other aspects

A classic question common to social sciences revolves around how people cooperate. Indeed,under what conditions will cooperation emerge without central authority? However, as the complication ofcommunity is growing, the importance of answering this question is increasing. That’s because the spread ofmass collaboration has changed everything, such as Wikinomics. Questions posted about how networks connectindividuals through structure and process, what rules and resources situate them in larger social systems, andaffect the interaction to and from them. This paper concerns that why people are willing to cooperate withoutthe aid of a central authority and how behavior and norms are affected by social relations. But the answer forpeople developing cooperation has a fundamental effect on social, political, and economic relations with others.Because of the social phenomena is composed of action, interaction, and relationship through network structure,analysts should not discrete individual behavior and ongoing network structure. As central objectives ofnetwork analysis are to measure and represent structural and to explain both why they occur and what are theirconsequences. The approach of this study is to propose network analysis to explain how participator actions forthe cloud aid education in China. The aim of this study is to utilize network diagram to analyze networkstructure of the cloud aid education. Based on longitudinal study, we offer a structural means to understand howknowledge creation and sharing occurs within networks, and then find the key determinants of efficientknowledge management. Mapping these dimensions in social networks enable social and technicalinterventions managers can employ to improve a network’s ability to create and share knowledge. The result isillustrated by investigating conditions of cooperation and identifying social