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
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