@inproceedings{280fc69be98c46c8a4a718e93318b980,
title = "A new method for the minimum concave cost transportation problem in smart transportation",
abstract = "The minimum concave cost transportation problem is the benchmark problem in numerical computing and it has been used widely in the schedule of smart transportation. In this paper, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem. The algorithm is derived from two neural network models and Lagrange-barrier functions. The Lagrange function is used to handle linear equality constraints and the barrier function is used to force the solution to move to the global or near-global optimal solution. The computer simulations on test problem are made and the results indicate that the proposed algorithm always generates global or near global optimal solutions.",
keywords = "Lagrange-barrier functions, Minimum concave cost transportation problem, Neural network algorithm, Neural network models",
author = "Chuan Li and Zhengtian Wu and Baochuan Fu and Chuangyin Dang and Jinjin Zheng",
year = "2018",
month = sep,
doi = "10.1007/978-981-13-6733-5\_34",
language = "English",
isbn = "978-981-13-6732-8",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Singapore",
pages = "363--369",
editor = "Fang, \{Qiansheng \} and Zhu, \{Quanmin \} and Qiao, \{Feng \}",
booktitle = "Advancements in Smart City and Intelligent Building - Proceedings of the International Conference on Smart City and Intelligent Building (ICSCIB 2018)",
address = "Singapore",
note = "International Conference on Smart City and Intelligent Building, ICSCIB 2018 ; Conference date: 15-09-2018 Through 16-09-2018",
}