Title :
Evolutionary algorithm for the Car Renter Salesman
Author :
Asconavieta, Paulo H S ; Goldbarg, Marco C. ; Goldbarg, Elizabeth F G
Author_Institution :
Inst. Fed. de Educ., Cienc. e Tecnol. Sul Riograndense, Pelotas, Brazil
Abstract :
The Car Renter Salesman is a new variant of the Traveling Salesman Problem with applications in optimization of scheduling of rental cars and transport systems in general. This paper defines the problem and proposes a Transgenetic Algorithm for it. The proposed algorithm is compared to a Memetic Algorithm presented in a previous work In order to focus on differences between the evolutionary strategies of each algorithm, the algorithm proposed here share several elements with the memetic algorithm. Results of a computational experiment performed on twenty instances indicate that the cooperative evolutionary process of the transgenetic algorithm produces high quality solutions outperforming the comparison algorithm.
Keywords :
automobiles; genetic algorithms; transportation; travelling salesman problems; car renter salesman; evolutionary algorithm; evolutionary strategy; memetic algorithm; rental cars scheduling optimization; transgenetic algorithm; transport system; traveling salesman problem; Algorithm design and analysis; Biological cells; Cities and towns; Companies; Genetics; Memetics; car renter salesman; combinatorial optimization; metaheuristics; transportation systems optimization;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949673