DocumentCode :
239231
Title :
Scientific algorithms for the Car Renter Salesman Problem
Author :
Felipe, Denis ; Ferreira Gouvea Goldbarg, Elizabeth ; Goldbarg, Marco C.
Author_Institution :
Dept. de Inf. e Mat. Aplic., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
873
Lastpage :
879
Abstract :
This paper presents the Scientific Algorithms, a new metaheuristics inspired in the scientific research process. The new method introduces the idea of theme to search the solution space of hard problems. The inspiration for this class of algorithms comes from the act of researching that comprises thinking, knowledge sharing and disclosing new ideas. The ideas of the new method are illustrated in the Traveling Salesman Problem. A computational experiment applies the proposed approach to a new variant of the Traveling Salesman Problem named Car Renter Salesman Problem. The results are compared to state-of-the-art algorithms for the latter problem.
Keywords :
graph theory; travelling salesman problems; car renter salesman problem; metaheuristic; scientific algorithms; traveling salesman problem; Cities and towns; Context; Cultural differences; Evolutionary computation; Sociology; Statistics; Vehicles; car renter salesman problem; metaheuristics; scientific algorithms; scientific research;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
Type :
conf
DOI :
10.1109/CEC.2014.6900556
Filename :
6900556
Link To Document :
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