MATLAB-based Searching Algorithm for International Meeting Location
Jia-run Tang, Xiang-ming Kong, Chen-yuan-hao Zhang
Mar 7, 2018
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Journal
DEStech Transactions on Computer Science and Engineering
Full text
Semantic Scholar
Key Takeaway Key Takeaway: The MATLAB-based searching algorithm (MSA) effectively determines suitable international meeting locations based on productivity, total costs, and time-zone factors, reducing jet lag effects.
Abstract
The organizations of international meeting are associated with a variety of complexities and uncertainties. Determining suitable meeting location with high productivity and low costs are problems to be solved. Moreover, participants have to experience the effects of jet lag, which dramatically affect their efficiency in the meeting. Therefore, a MATLAB-based searching algorithm (MSA) is proposed in this study to determine the meeting location for the international meeting. In MSA, two criterions including satisfaction of overall productivity of the meeting and the total costs are set up to choose the suitable cities. Three indexes including time-zone, average temperature and average precipitation are selected to represent the satisfaction of productivity. The total cost of the meeting contains the costs for flight and living. The list of recommended cities can be generated by searching a database established in the algorithm though MATLAB.