1887

Abstract

Summary

In many countries, various R&D programs have been pursued to increase national competitiveness and to improve the quality of public life and sustainable Development (SD) has become a primary objective for R&D activities, especially in the area of Construction and Transportation(C&T) technology. Optimal budget allocation in line with the strategic objectives of SD is one of the major tasks for policy makers but guidelines for developing the content and a decision-making system for budget allocation have not been appropriately established. In this study, the capability of the genetic algorithm (GA) to suggest an optimal budget layout is investigated using the R&D data from Korea. First, a relationship the C&T technology classification to SD indicators is investigated. Then, the GA is applied for the optimal allocation of the R&D budget. The case study shows the potential to provide decision-making information for R&D budget allocation according to the strategic objectives of SD.

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/content/papers/10.3997/2214-4609.201702131
2017-09-03
2024-04-19
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References

  1. Cao, K., Huang, B., and Wang, S.
    [2012] Sustainable land use optimization using Boundary-based Fast Genetic Algorithm, Computers, Environment and Urban Systems, 36(3), 257–269.
    [Google Scholar]
  2. Dalkey, N. and Helmer, O.
    [1963] An Experimental Application of the Delphi Method to the Use of Experts, Management Science9(3), 458–467.
    [Google Scholar]
  3. Dworkis, M. and Huang, D.
    [2008] Genetic Algorithms and Investment Strategy Development, Wharton Research Scholars Journal.
    [Google Scholar]
  4. Fernandez-Gonzalez, E., Vega-Lopez, I., and Navarro-Castillo, J.
    [2012] Public Portfolio Selection Combining Genetic Algorithms and Mathematical Decision Analysis, Bio-Inspired Computational Algorithms and Their Applications.
    [Google Scholar]
  5. Holland, J.H.
    [1975] Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence, Oxford: U Michigan Press.
    [Google Scholar]
  6. Huang, W.C., Teng, J.Y., and Li, M.C.
    [2010] The budget alocation model of public infrastructure projects, Journal of Marine Science and Technology, 18(5), 697–708.
    [Google Scholar]
  7. Korea Institute of Industrial Technology Evaluation and Planning
    Korea Institute of Industrial Technology Evaluation and Planning [2006] Analysis of International R&D Investment Trend in 2006.
    [Google Scholar]
  8. Korean Institute of Construction
    Korean Institute of Construction [2006], TRPA scan presentation.
    [Google Scholar]
  9. Ministry Of Environment
    Ministry Of Environment [2012] National strategy for Sustainable Development
  10. Ministry of Strategy and Finance
    Ministry of Strategy and Finance [2012] 2011 Korea National Competitiveness Report.
    [Google Scholar]
  11. Moon, T.H.
    [2006] Sustainable Development in Korea, key issues and government response, International Review of Public Administration, 11(1).
    [Google Scholar]
  12. United Nations
    United Nations [1996] Indicators of Sustainable Development: Framework and Methodologies
    [Google Scholar]
  13. Yusuf, S.A.
    [2010] An evolutionary AI-based decision support system for urban regeneration planning, University of Wolverhampton
    [Google Scholar]
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