• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    • Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Evaluation of Tailored Mutation Operator in a Parallel Genetic Algorithm for Pavement Maintenance Treatment Scheduling

    Thumbnail
    View/Open
    Pullan525164-Published.pdf (993.1Kb)
    File version
    Version of Record (VoR)
    Author(s)
    Pullan, Wayne
    Cancian, Glen
    Griffith University Author(s)
    Pullan, Wayne J.
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    The maintenance of an existing large road network is a key focus area for road authorities around the world. The pressures associated with the ever-increasing road network and often shrinking budgets means that it is essential that road authorities invest maintenance budgets wisely. In line with this objective, most road authorities’ employee a Pavement Management System (PMS) to assist in making maintenance decisions. PMSs must solve a very large optimization problem involving thousands of road segments with multiple possible treatments. There is a wide range in the cost of these treatments and also in the magnitude and ...
    View more >
    The maintenance of an existing large road network is a key focus area for road authorities around the world. The pressures associated with the ever-increasing road network and often shrinking budgets means that it is essential that road authorities invest maintenance budgets wisely. In line with this objective, most road authorities’ employee a Pavement Management System (PMS) to assist in making maintenance decisions. PMSs must solve a very large optimization problem involving thousands of road segments with multiple possible treatments. There is a wide range in the cost of these treatments and also in the magnitude and duration of their improvement. The optimization problem is to identify a minimum cost, 20-year maintenance program that ensures all segments are maintained at an acceptable level (which varies depending on factors such as the amount of traffic and the type of traffic). In addition to the 20-year overall budget, there are yearly budgets constraints which must be met and many other constraints such as the availability of staff and machinery. Previous research has shown significant benefit arises from the adoption of a genetic algorithm-based PMS. This paper builds on this research through the application and evaluation of a tailored, parallel genetic algorithm within a PMS. A tailored genetic algorithm is evaluated using a real-world road network of 1,335 road segments executed using 12 processing units with annual budgets ranging between $40 and $50 million. Over a total of 174 trials, the tailored genetic algorithm was 46% more successful than a standard genetic algorithm at producing an optimised program of works that satisfied all budget constraints, typically with a lower overspend
    View less >
    Conference Title
    International Multiconference of Engineers and Computer Scientists 2021
    Publisher URI
    http://www.iaeng.org/IMECS2021/
    Copyright Statement
    © 2021 International Association of Engineers (IAENG). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
    Subject
    Optimisation
    Publication URI
    http://hdl.handle.net/10072/410645
    Collection
    • Conference outputs

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander