Titlebook: Computer Science and its Applications; CSA 2012 Sang-Soo Yeo,Yi Pan,Hang Bae Chang Conference proceedings 2012 Springer Science+Business Me

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Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/c/image/233803.jpg

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https://doi.org/10.1007/978-94-007-5699-1Autonomic Computing; Business Management; Business service; Data Mining; Database Engineering; Grid Compu

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978-94-024-0659-7Springer Science+Business Media Dordrecht 2012

优雅

A Hybrid Natural Computing Approach for the VRP Problem Based on PSO, GA and Quantum Computationcomputation, is introduced to solve the Vehicle Routing Problem (VRP). We propose a quantum approach, called QUP, to update the particles in PSO. And, we add GA operators to improve population quality. The simulation results show that the PGQ algorithm is very effective, and is better than simple PSO and GA, as well as PSO and GA mixed algorithm.

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Christopher A. Erickson,Elliott Willmancomputation, is introduced to solve the Vehicle Routing Problem (VRP). We propose a quantum approach, called QUP, to update the particles in PSO. And, we add GA operators to improve population quality. The simulation results show that the PGQ algorithm is very effective, and is better than simple PSO and GA, as well as PSO and GA mixed algorithm.

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Christopher A. Erickson,Elliott Willmancomputation, is introduced to solve the Vehicle Routing Problem (VRP). We propose a quantum approach, called QUP, to update the particles in PSO. And, we add GA operators to improve population quality. The simulation results show that the PGQ algorithm is very effective, and is better than simple PS

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