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Determination of Pavement Rehabilitation Activities through a Permutation Algorithm

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  • Sangyum Lee
  • Sungho Mun
  • Hyungchul Moon

Abstract

This paper presents a mathematical programming model for optimal pavement rehabilitation planning. The model maximized the rehabilitation area through a newly developed permutation algorithm, based on the procedures outlined in the harmony search (HS) algorithm. Additionally, the proposed algorithm was based on an optimal solution method for the problem of multilocation rehabilitation activities on pavement structure, using empirical deterioration and rehabilitation effectiveness models, according to a limited maintenance budget. Thus, nonlinear pavement performance and rehabilitation activity decision models were used to maximize the objective functions of the rehabilitation area within a limited budget, through the permutation algorithm. Our results showed that the heuristic permutation algorithm provided a good optimum in terms of maximizing the rehabilitation area, compared with a method of the worst‐first maintenance currently used in Seoul.

Suggested Citation

  • Sangyum Lee & Sungho Mun & Hyungchul Moon, 2013. "Determination of Pavement Rehabilitation Activities through a Permutation Algorithm," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:252808
    DOI: 10.1155/2013/252808
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    References listed on IDEAS

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    1. Jaco Fourie & Richard Green & Zong Woo Geem, 2013. "Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-13, April.
    2. Jaco Fourie & Richard Green & Zong Woo Geem, 2013. "Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
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    Cited by:

    1. Deok-Soon An & Young-Chan Suh & Sungho Mun & Byung-Sik Ohm, 2013. "Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).

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