A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems

•Proposes a distributed adaptive optimization spiking neural P system with a distributed population structure and a new adaptive learning rate considering population diversity.•Extensive experiments on knapsack problems show that DAOSNPS gains much better and more stable solutions than OSNPS, AOSNPS...

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Bibliographic Details

Published in:	Information sciences Vol. 596; pp. 1 - 14
Main Authors:	Dong, Jianping, Zhang, Gexiang, Luo, Biao, Yang, Qiang, Guo, Dequan, Rong, Haina, Zhu, Ming, Zhou, Kang
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2022
Subjects:	Combinatorial optimization problems Membrane computing Optimization spiking neural P system Spiking neural P system Combinatorial optimization problems Membrane computing Optimization spiking neural P system Spiking neural P system
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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