TY - GEN
T1 - Solving the interval green inventory routing problem using optimization and genetic algorithms
AU - Franco, Carlos
AU - López-Santana, Eduyn Ramiro
AU - Figueroa-García, Juan Carlos
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - In this paper, we present a genetic algorithm embedded with mathematical optimization to solve a green inventory routing problem with interval fuel consumption. Using the idea of column generation in which only attractive routes are generated to the mathematical problem, we develop a genetic algorithm that allow us to determine speedily attractive routes that are connected to a mathematical model. We code our genetic algorithm using the idea of a integer number that represents all the feasible set of routes in which the maximum number allowed is the binary number that represents if a customer is visited or not. We approximate the fuel consumption as an interval number in which we want to minimize the overall fuel consumption of distribution. This is the first approximation made in the literature using this type of methodology so we cannot compare our approach with those used in the literature.
AB - In this paper, we present a genetic algorithm embedded with mathematical optimization to solve a green inventory routing problem with interval fuel consumption. Using the idea of column generation in which only attractive routes are generated to the mathematical problem, we develop a genetic algorithm that allow us to determine speedily attractive routes that are connected to a mathematical model. We code our genetic algorithm using the idea of a integer number that represents all the feasible set of routes in which the maximum number allowed is the binary number that represents if a customer is visited or not. We approximate the fuel consumption as an interval number in which we want to minimize the overall fuel consumption of distribution. This is the first approximation made in the literature using this type of methodology so we cannot compare our approach with those used in the literature.
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U2 - 10.1007/978-3-319-66963-2_49
DO - 10.1007/978-3-319-66963-2_49
M3 - Conference contribution
AN - SCOPUS:85030033946
SN - 9783319669625
T3 - Communications in Computer and Information Science
SP - 556
EP - 564
BT - Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
A2 - Figueroa-Garcia, Juan Carlos
A2 - Lopez-Santana, Eduyn Ramiro
A2 - Ferro-Escobar, Roberto
A2 - Villa-Ramirez, Jose Luis
PB - Springer
T2 - 4th Workshop on Engineering Applications, WEA 2017
Y2 - 27 September 2017 through 29 September 2017
ER -