2010
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1. | Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Zavala-Díaz, José C. Population pre-selection operators used for generating a non-random initial population to solve vehicle routing problem with time windows Journal Article In: Scientific Research and Essays, vol. 5, no. 22, pp. 3529-3528, 2010, ISSN: 1992- 2248. @article{JCR11,
title = {Population pre-selection operators used for generating a non-random initial population to solve vehicle routing problem with time windows},
author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and José C. Zavala-Díaz},
url = {https://www.researchgate.net/publication/264848520_Population_pre-selection_operators_used_for_generating_a_non-random_initial_population_to_solve_vehicle_routing_problem_with_time_windows},
issn = {1992- 2248},
year = {2010},
date = {2010-02-07},
journal = {Scientific Research and Essays},
volume = {5},
number = {22},
pages = {3529-3528},
abstract = {In this paper, we propose two population pre-selection operators to improve by the k-means algorithm (clustering) and neighborhood techniques the determination of the in-itial population (not-randomly population) used in the evolutionary and genetic algo-rithms to solve the Vehicle Routing Problem with Time Windows (VRPTW). The re-sults provide individual or chromosomes in the initial population near to the optimal in VRPTW instances.},
keywords = {Papers in the Science Citation Index Expanded, vehicle routing problem with time windows},
pubstate = {published},
tppubtype = {article}
}
In this paper, we propose two population pre-selection operators to improve by the k-means algorithm (clustering) and neighborhood techniques the determination of the in-itial population (not-randomly population) used in the evolutionary and genetic algo-rithms to solve the Vehicle Routing Problem with Time Windows (VRPTW). The re-sults provide individual or chromosomes in the initial population near to the optimal in VRPTW instances. |
2008
|
2. | Ruiz-Vanoye, Jorge A.; Zárate-Marceleño, José A.; Díaz-Parra, Ocotlán; N., Vanesa Landero Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm Book Chapter In: vol. 5073, pp. 1131-1141, Springer, Berlin, Heidelberg, 2008, ISBN: 978-3-540-69840-1. @inbook{BC2,
title = {Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm},
author = {Jorge A. Ruiz-Vanoye and José A. Zárate-Marceleño and Ocotlán Díaz-Parra and Vanesa Landero N.},
url = {https://link.springer.com/chapter/10.1007/978-3-540-69848-7_90},
doi = {10.1007/978-3-540-69848-7_90},
isbn = {978-3-540-69840-1},
year = {2008},
date = {2008-02-07},
volume = {5073},
pages = {1131-1141},
publisher = {Springer, Berlin, Heidelberg},
series = {Lecture Notes in Artificial Intelligence},
abstract = {In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW.},
keywords = {chapters, vehicle routing problem with time windows},
pubstate = {published},
tppubtype = {inbook}
}
In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW. |