DocumentCode :
3046866
Title :
Quantum Annealing Algorithm for Vehicle Scheduling
Author :
Crispin, Alan ; Syrichas, Alex
Author_Institution :
Sch. of Comput., Math., Digital Technol., Manchester Metropolitan Univ., Manchester, UK
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
3523
Lastpage :
3528
Abstract :
In this paper we propose a new strategy for solving the Capacitated Vehicle Routing Problem using a quantum annealing algorithm. The Capacitated Vehicle Routing Problem is a variant of the Vehicle Routing Problem being characterized by capacitated vehicles which contain goods up to a certain maximum capacity. Quantum annealing is a metaheuristic that uses quantum tunneling in the annealing process. We discuss devising a spin encoding scheme for solving the Capacitated Vehicle Routing Problem with a quantum annealing algorithm and an empirical approach for tuning parameters. We study the effectiveness of quantum annealing in comparison with best known solutions for a range of benchmark instances.
Keywords :
quantum theory; scheduling; vehicle routing; capacitated vehicle routing problem; metaheuristic; quantum annealing algorithm; quantum tunneling; spin encoding scheme; tuning parameters; Annealing; Kinetic energy; Monte Carlo methods; Potential energy; Quantum computing; Routing; Vehicles; Capacitated Vehicle Routing; Population Heuristics; Quantum Annealing; Soft Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.601
Filename :
6722354
Link To Document :
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