Solving the Travelling Salesman Problem Based on Collaborative Neurodynamic Optimization with Discrete Hopfield Networks
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 11th International Conference on Information Science and Technology (ICIST) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 456-465 |
ISBN (Electronic) | 978-1-6654-1266-7 |
ISBN (Print) | 978-1-6654-2941-2 |
Publication status | Published - May 2021 |
Publication series
Name | International Conference on Information Science and Technology, ICIST |
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ISSN (Print) | 2164-4357 |
ISSN (Electronic) | 2573-3311 |
Conference
Title | 11th International Conference on Information Science and Technology, ICIST 2021 |
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Place | China |
City | Chengdu |
Period | 21 - 23 May 2021 |
Link(s)
Abstract
This paper addresses the travelling salesman problem (TSP) based on collaborative neurodynamic optimization (CNO). In the CNO approach to TSP, a population of discrete Hopfield networks are employed for searching local optimal solutions and repeatedly reinitialized by using the particle swarm optimization rule towards a global optimal solution. Experimental results for solving four TSP benchmarks are reported to substantiate the efficacy of the CNO approach.
Research Area(s)
- collaborative neurodynamic optimization, discrete Hopfield network, Travelling salesman problem
Citation Format(s)
Solving the Travelling Salesman Problem Based on Collaborative Neurodynamic Optimization with Discrete Hopfield Networks. / Li, Hongzong; Wang, Jiasen; Wang, Jun.
11th International Conference on Information Science and Technology (ICIST). Institute of Electrical and Electronics Engineers, 2021. p. 456-465 9440588 (International Conference on Information Science and Technology, ICIST).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review