مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

797
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Optimization Forest Road Construction Using Ant Colony Metaheuristic

Pages

  113-130

Abstract

 For designing forest roads that in addition to minimize the cost of constructing, satisfy environmentalists, it is necessary to provide designers and contractors accurate data from surface and subsurface conditions of the road area due to the large-scale of data using of optimization methods (metaheuristic algorithms) with the help of computers is necessary. For this purpose, this research was carried out on a proposed forest road whit length of 1 km in the forests of the district 4 of Babakoh in the city of Siahkal in Guilan province. The cycle of all earthwork work was studied by continuous time study method and the information of the subsurface layers terms of digging was carefully recorded. The results of comparing the method of the ant colony with the hand-made design scenario showed that the multi-objective algorithm presented in this study has great potential for reducing the cost of earthwork operations and its volume. Based on the results, the algorithm is able to reduce 58. 55 and 64 percent the cost of earthwork operations and the volume of operations, respectively. Finally, the results of this research can be used as a guide to better management of forest areas, especially forest roads with the development of efficient methods in all forestry forests.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    PAZHOHAN, I., NAJAFI, A., VAHIDI, J., & KAMKAR ROUHANI, A.. (2020). Optimization Forest Road Construction Using Ant Colony Metaheuristic. IRANIAN JOURNAL OF FOREST, 12(1 ), 113-130. SID. https://sid.ir/paper/123281/en

    Vancouver: Copy

    PAZHOHAN I., NAJAFI A., VAHIDI J., KAMKAR ROUHANI A.. Optimization Forest Road Construction Using Ant Colony Metaheuristic. IRANIAN JOURNAL OF FOREST[Internet]. 2020;12(1 ):113-130. Available from: https://sid.ir/paper/123281/en

    IEEE: Copy

    I. PAZHOHAN, A. NAJAFI, J. VAHIDI, and A. KAMKAR ROUHANI, “Optimization Forest Road Construction Using Ant Colony Metaheuristic,” IRANIAN JOURNAL OF FOREST, vol. 12, no. 1 , pp. 113–130, 2020, [Online]. Available: https://sid.ir/paper/123281/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button