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- W2392109837 abstract "Combining with open-pit mine transportation dispatching system,and considering the constraints of scheduled production,productive capacity,quality requirements and transport process,a universal open-pit mine transportation dispatching system model was established.Regarding the minimum total operating costs as the target function,and utilizing the penalty function method to transform large constraints into the unconstrained,the fitness function of particle swarm algorithm was built.Particle swarm algorithm was improved by joining the adaptive mutation process to avoid premature convergence and improve the algorithm convergence effect.Using the improved self-adaptive mutation particle swarm algorithm to solve the optimization problem of open-pit mine transportation dispatching system,adopting the Matlab software to simulate solving process,the results show that the algorithm can get the satisfied program of the current vehicle scheduling,improve the efficiency of open-pit mine transportation scheduling,help to improve the productivity of open-pit mines and provide certain reference for the digital mine construction." @default.
- W2392109837 created "2016-06-24" @default.
- W2392109837 creator A5061480777 @default.
- W2392109837 date "2012-01-01" @default.
- W2392109837 modified "2023-09-26" @default.
- W2392109837 title "Particle swarm optimization for transportation dispatching system of open-pit mines" @default.
- W2392109837 hasPublicationYear "2012" @default.
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