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Vehicle Routing Problem Considering Reconnaissance and Transportation

doi: 10.3390/su13063188
Troop movement involves transporting military personnel from one location to another using available means. To minimize damage from enemies, the military simultaneously uses reconnaissance and transportation units during troop movements. This paper proposes a vehicle routing problem considering reconnaissance and transportation (VRPCRT) for wartime troop movements. The VRPCRT is formulated as a mixed-integer programming model for minimizing the completion time of wartime troop movements and reconnaissance, and transportation vehicle routes were determined simultaneously in the VRPCRT. For this paper, an ant colony optimization (ACO) algorithm for the VRPCRT was also developed, and computational experiments were conducted to compare the ACO algorithm’s performance and that of the mixed-integer programming model. The performance of the ACO algorithm was shown to yield excellent results even for the real-size problem. Furthermore, a sensitivity analysis of the change in the number of reconnaissance and transportation vehicles was performed, and the effects of each type of vehicle on troop movement were analyzed.
- Seoul National University Korea (Republic of)
- Yonsei University Korea (Republic of)
- Yonsei University Korea (Republic of)
- Seoul National University Korea (Republic of)
ant colony optimization, Environmental effects of industries and plants, TJ807-830, smart logistics, TD194-195, Renewable energy sources, Environmental sciences, vehicle routing problem, GE1-350, wartime logistics
ant colony optimization, Environmental effects of industries and plants, TJ807-830, smart logistics, TD194-195, Renewable energy sources, Environmental sciences, vehicle routing problem, GE1-350, wartime logistics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
