期刊论文、会议论文

Zhou, Kang

英文

INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING

1548-7199

2020

15

1-2

5-36

7th Asian Conference on Membrane Computing (ACMC)

DEC 10-14, 2018

Univ Auckland, Auckland, NEW ZEALAND

Univ Auckland

Int Membrane Comp Soc, Univ Auckland, Dept Comp Sci, Ctr Discrete Math & Theoret Comp Sci

628 NORTH 2ND ST, PHILADELPHIA, PA 19123 USA

OLD CITY PUBLISHING INC

https://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-15-number-1-2-2020/ijuc-15-1-2-p-5-36/

This work is supported by the National Natural Science Foundation of China (61672437, 61702428, 61702383, 61972324), the New Generation Artificial Intelligence Science and Technology Major Project of Sichuan Province (2018GZDZX0043) and the Sichuan Science and Technology Program (2018GZ0185, 2018GZ0086, 2018GZ0095), Funded by Beijing Advanced Innovation Center for Intelligent Robots and Systems (2019IRS14), Artificial Intelligence Key Laboratory of Sichuan Province (2019RYJ06), Subproject of the National Key Research and Development Program of China (2017YFD0401102-02), Key Project of Philosophy and Social Science Research Project of Hubei Provincial Department of Education in 2019 (19D59), Science and Technology Research Project of Hubei Department of Education (D20191604).

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Traffic network transportation optimization problem (TNTOP) has important applications in logistics distribution fields. In various disciplines, methods about the solutions-termed TNTOP can have shown promising performance from different types of detection, at different conditions. Due to the limitatioins of the calculation speed of traditonal algorithms, it is rare that a simple unmodified method provides complete techniques of tackling large-scale TNTOP. We use the term P systems to solve the above limitatioins. Specifically, it is a tissue-l...