Abstract
In order to minimize the length of time required for emergency relief distribution, the decision-maker always considers damaged road network restoration as a strategy. Focusing on the interrelationship between relief distribution and road network restoration, we provide a transparent and feasible solution for solving optimized road network emergency restoration scheduling for relief distribution. Combining the road network emergency restoration and relief distribution, a combinatorial optimization model is developed in this paper. Consequently, a newly developed genetic algorithm is designed to solve this problem. A case study is presented to highlight the significance of the proposed model as well as the efficacy of solution strategy.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
