Abstract
Abstract This paper presents an optimization modeling technique to develop an evacuation plan for transit-dependent residents in the event of natural disaster such as the hurricane. The transit evacuation operation is formulated as a location-routing problem (LRP) with uncertain demands. The objective of this study is set to minimize the total evacuation time. The LRP problem identifies the optimal serving areas and transit vehicle routings to move evacuees from the affected zone to designated shelters or safe destinations. We present our computational experience on the application of hybrid genetic algorithms, artificial neural network, and hill climbing heuristic algorithms. Numerical experiments are conducted using the survey data from Gulfport, MS, to illustrate the proposed modeling technique. Experimental results show that the hybrid genetic algorithm (GA) performs better both in quality and efficiency than traditional GA.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Transportation Systems Engineering and Information Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
