DocumentCode :
2965976
Title :
A systematic heuristic rules analysis methodology for routing problems
Author :
Crespo-Pereira, D. ; Del Río-Vilas, D. ; Crespo-Mariño, J.L. ; García-del-Valle, A.
Author_Institution :
Grupo Integrado de Ing., Univ. of A Coruna, Ferrol, Spain
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
1244
Lastpage :
1248
Abstract :
Heuristic constructive algorithms have been widely and successfully applied to the solution of routing problems. Since they generally consist of an iterative insertion of nodes to construction routes, prioritization rules for assignments is critic for algorithm´s performance. Developing these rules is time consuming and relies much on researcher skills and knowledge on problem features. This paper proposes a systematic methodology for a widespread exploration of prioritization rules aiming at reducing human effort on its development. A general model for prioritization is achieved by means of an artificial neural network. Parameters are tuned for the specific problem by an evolutionary strategy search. The methodology is formulated for generic routing problems and applied to VRPTW to illustrate its operation and as a preliminary assessment of its capabilities. Neural networks are evolved for Solomon´s benchmark instances and analyzed to gain knowledge on underlying rules.
Keywords :
evolutionary computation; logistics; neural nets; operations research; VRPTW problem; artificial neural network; evolutionary strategy search; heuristic rules analysis; prioritization rules; routing problems; Algorithm design and analysis; Artificial neural networks; Constraint optimization; Cost function; Heuristic algorithms; Humans; Iterative algorithms; Neural networks; Routing; Transportation; Prioritization rules; VRPTW; evolutionary strategy; neural network; node assignments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373000
Filename :
5373000
Link To Document :
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