Title :
Multitasking Vehicle Routing for Delivering the Explosive during Wartime Based on a Mixed Algorithm of Genetic Taboos
Author :
Mi, Lei ; Jun, Gao
Abstract :
Vehicle routing for delivering explosive during wartime is the key factor of improving efficiency of protecting ammunition in rear warehouse. In this essay, I will build up a mathematical model of multitasking vehicle routing with Time Window constraint and construct a mixed algorithm of genetic taboos with two-layer searching structure. The algorithm has better ability to optimization, operating efficiency and reliability compared with basic genetic algorithm.
Keywords :
Algorithm design and analysis; Explosives; Genetic algorithms; Loading; Multitasking; Vehicle routing; Vehicles; Delivering the explosive; Multitasking vehicle routing;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
DOI :
10.1109/ICMTMA.2015.169