Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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.
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.
A New Method for the Minimum Concave Cost Transportation Problem in Smart Transportation
Li, Chuan (Autor:in) / Wu, Zhengtian (Autor:in) / Fu, Baochuan (Autor:in) / Dang, Chuangyin (Autor:in) / Zheng, Jinjin (Autor:in)
01.01.2019
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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