TY - CHAP
T1 - A simple metaheuristic for the fleetsize and mix problem with TimeWindows
AU - Bräysy, Olli
AU - Dullaert, Wout
AU - Porkka, Pasi P.
PY - 2018
Y1 - 2018
N2 - This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Vehicle Routing Problem with Time Windows. The key idea of the new metaheuristic is to perform a random number of random-sized jumps in random order through four well-known local search operators. Computational testing on the 600 large-scale benchmarks of Bräysy et al. (Expert Syst Appl 36(4):8460–8475, 2009) show that the new metaheuristic outperforms previous best approaches, finding 533 new best-known solutions. Despite the significant number of random components, it is demonstrated that the variance of the results is rather low. Moreover, the suggested metaheuristic is shown to scale almost linearly up to 1000 customers.
AB - This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Vehicle Routing Problem with Time Windows. The key idea of the new metaheuristic is to perform a random number of random-sized jumps in random order through four well-known local search operators. Computational testing on the 600 large-scale benchmarks of Bräysy et al. (Expert Syst Appl 36(4):8460–8475, 2009) show that the new metaheuristic outperforms previous best approaches, finding 533 new best-known solutions. Despite the significant number of random components, it is demonstrated that the variance of the results is rather low. Moreover, the suggested metaheuristic is shown to scale almost linearly up to 1000 customers.
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UR - https://www.springer.com/gp/book/9783319544892
U2 - 10.1007/978-3-319-54490-8_4
DO - 10.1007/978-3-319-54490-8_4
M3 - Chapter
AN - SCOPUS:85021833644
SN - 9783319544892
SN - 9783319854052
VL - 45
T3 - Computational Methods in Applied Sciences
SP - 57
EP - 70
BT - Computational Methods and Models for Transport
PB - Springer Netherland
ER -