Application of Evolutionary Computing to Disaster Restoration and Prevention Problems

In this paper, an attempt is made to apply evolutionary computing for earthquake disaster restoration and prevention problems. The relationships among early restoration, minimization of life-cycle cost and target safety level of road network are discussed by using multi-objective genetic algorithm. A comprehensive disaster prevention program is developed based on the recognition that road networks may be unavoidably damaged when very strong earthquakes occur. By introducing the concept of multi-objective optimization into the restoration and prevention scheduling for earthquake disasters, it is possible to find out several near-optimal restoration and prevention scheduling plans.

• Record URL:
  • https://doi.org/10.1061/41170(400)1
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411704
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Authors:
  • Furuta, Hitoshi
  • Nakatsu, Koichiro
• Conference:
  • The ICVRAM 2011 and ISUMA 2011 Conferences: Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management
  • Location: Hyattsville MD, United States
  • Date: 2011-4-11 to 2011-4-13
• Publication Date: 2011

Language

• English

Subject/Index Terms

• TRT Terms: Computers; Disasters; Earthquakes; Highways; Roads; Seismicity
• Geographic Terms: Japan
• Subject Areas: Geotechnology; Highways;

Filing Info

• Accession Number: 01347359
• Record Type: Publication
• ISBN: 978-0-7844-1170-4
• Files: TRIS, ASCE
• Created Date: Aug 8 2011 2:12PM