CHOOSING AN INVESTMENT STRATEGY FOR SMART CITY PROJECTS BASED ON A GENETIC ALGORITHM
Valerii L. Akbala A. Sholpan S. Raigul A. Miroslav L. Petro K. Yevhenii K.
15 February 2022Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2022#100Issue 3591 - 602 pp.
This paper presents a genetic algorithm (GA), which is adapted to solve the problem associated with obtaining a predictive assessment of benefit from different areas of investment in Smart City projects. The application of the proposed GA provides potential investors with predictive assessments of the prospects of the selected investment strategies at the stage of assessing the attractiveness of individual projects related to the development of Smart City. This is achieved by identifying significant growth drivers for the benefit from investment in the Smart City, as well as tracking points of growth and structural changes in the urban economy. The application software was developed based on the GA described in the paper. A series of computational experiments on the selection of rational strategies for investors in Smart City projects was conducted. Based on the data of computational experiments, a conclusion about the operability of the proposed GA in the task of forecasting the attractiveness of investment strategies in Smart City development projects was made.
Decision Support , Genetic Algorithm , Investment Strategy , Projects , Smart City
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National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Kazakh University of Railway Engineering, Almaty, Kazakhstan
Almaty University of Power Engineering and Telecommunications, Almaty, Kazakhstan
Turan University, Almaty, Kazakhstan
Private Higher Educational Establishment European University, Kiev, Ukraine
National University of Life and Environmental Sciences of Ukraine
Kazakh University of Railway Engineering
Almaty University of Power Engineering and Telecommunications
Turan University
Private Higher Educational Establishment European University
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