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- W2358156927 abstract "The mathematic model is built for scheduling problem of ammunition transport vehicles,and an improved genetic algorithm is put forward to solve the problem considering the defects of the traditional genetic algorithm in solving the problem which include the slow convergent speed and easy convergence to a local minimum point.A genetic crossover operator based on pheromone is introduced in the improved algorithm,and the operator can utilize the global information saved by the form of pheromone to improve the convergence speed.The mutation operator in the algorithm adopts four heuristic search algorithms to extend the search scope as much as possible which are Relocation,Exchange,2-opt*and 2-opt.The example analysis shows that the proposed and improved genetic algorithm is effective and feasible in solving the scheduling problem of ammunition transport vehicles." @default.
- W2358156927 created "2016-06-24" @default.
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- W2358156927 date "2014-01-01" @default.
- W2358156927 modified "2023-09-27" @default.
- W2358156927 title "Study of Scheduling Problem of Ammunition Transport Vehicles Based on Improved Genetic Algorithm" @default.
- W2358156927 hasPublicationYear "2014" @default.
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