Abstract
Team orienteering problem (TOP) is NP-hard problem. Recently, a multi-modal team orienteering problem with time windows (MM-TOPTW) as a new extension of TOP is developed. Many real-world applications can be modeled as MM-TOPTW. In this paper, a simulated annealing (SA) is designed for MM-TOPTW. In the SA, a temperature reannealing scheme is adopted to get away the local optimum, and multiple neighborhood searches are carefully designed to improve solution. The computation results demonstrate the proposed algorithm can obtain better solution than the recently proposed algorithm for MM-TOPTW.
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Acknowledgments
This work was supported in part by the Foundation for Distinguished Young Talents in Higher Education of Guangdong, China, under Grant Yqgdufe1404, and in part by the Program for Characteristic Innovation Talents of Guangdong under Grant 2014KTSCX127, and in part by the Opening Project of Guangdong High Performance Computing Society under Grant 2017060109, in part by the Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education under Grant MSC-201606A, in part by the China Scholarship Council under Grant 201608440449.
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Zhou, Y., Li, C., Li, Y. (2018). A Simulated Annealing for Multi-modal Team Orienteering Problem with Time Windows. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_3
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DOI: https://doi.org/10.1007/978-981-13-2829-9_3
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