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/

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61672437, 61702428, 61702383, 61972324]; New Generation Artificial Intelligence Science and Technology Major Project of Sichuan Province [2018GZDZX0043]; Sichuan Science and Technology Program [2018GZ0185, 2018GZ0086, 2018GZ0095]; Beijing Advanced Innovation Center for Intelligent Robots [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-like P system with four cells based on particle swa...