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Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis
(2022-09-28)
The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems). The NSN P systems ...
Novel Numerical Spiking Neural P Systems with a Variable Consumption Strategy
(3/20/2021)
A novel variant of NSN P systems, called numerical spiking neural P systems with a variable consumption strategy (NSNVC P systems), is proposed. Like the spiking rules consuming spikes in spiking neural P systems, NSNVC P ...
Optimal Coordination Strategy for International Production Planning and Pollution Abating under Cap-and-Trade Regulations
(9/19/2019)
Because both pollution emissions and production policies often are international in scope, it is necessary to find optimal coordination strategies for international production planning and pollution abating. Differential ...
An Extended Clustering Membrane System Based on Particle Swarm Optimization and Cell-Like P System with Active Membranes
(Mathematical Problems in Engineering, 2020;, 2020-01-31)
An extended clustering membrane system using a cell-like P system with active membranes based on particle swarm optimization (PSO), named PSO-CP, is designed, developed, implemented, and tested. The purpose of PSO-CP is ...
A New Chaotic Starling Particle Swarm Optimization Algorithm for Clustering Problems
(Mathematical Problems in Engineering, 2018;, 2018-08-19)
A new method using collective responses of starling birds is developed to enhance the global search performance of standard particle swarm optimization (PSO). The method is named chaotic starling particle swarm optimization ...
A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model
(PLOS ONE, 15(12);, 2020-12-02)
A DNA (DeoxyriboNucleic Acid) algorithm is proposed to solve the job shop scheduling problem. An encoding scheme for the problem is developed and DNA computing operations are proposed for the algorithm. After an initial ...
GPU-Based Parallel Particle Swarm Optimization Methods for Graph Drawing
(Discrete Dynamics in Nature and Society, 2017;, 2017-07-30)
Particle Swarm Optimization (PSO) is a population-based stochastic search technique for solving optimization problems, which has been proven to be effective in a wide range of applications. However, the computational ...
A Density Peak Clustering Algorithm Based on the K-Nearest Shannon Entropy and Tissue-Like P System
(Mathematical Problems in Engineering, 2019;, 2019-07-31)
This study proposes a novel method to calculate the density of the data points based on K-nearest neighbors and Shannon entropy. A variant of tissue-like P systems with active membranes is introduced to realize the clustering ...
An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors
(Discrete Dynamics in Nature and Society, 2017;, 2017-02-19)
Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data. In this work, a fast Apriori algorithm, called ECTPPI-Apriori, ...
Influential Factors and the Realization Mechanism of Sustainable Information-Sharing in Virtual Communities from a Knowledge Fermenting Perspective
(SAGE Open, 10(4);, 2020-11-25)
Little is known about sustainable information-sharing in virtual communities, although it is increasingly recognized as a useful information-sharing tool. The aim of this study is to explore the influential factors and the ...