On expediency of Closed Asynchronous Dynamic Cellular Learning Automata

被引：1
|
作者：
Saghiri, Ali Mohammad [1 ]
Meybodi, Mohammad Reza [1 ]
机构：
[1] Amirkabir Univ Technol, Comp Engn & Informat Technol Dept, Soft Comp Lab, 424 Hafez Ave, Tehran, Iran
来源：
JOURNAL OF COMPUTATIONAL SCIENCE | 2018年 / 24卷
关键词：
Cellular Automata; Learning Automata; Closed Asynchronous Dynamic Cellular; Expediency; STOCHASTIC GRAPHS; NETWORKS; ALGORITHM;
D O I：
10.1016/j.jocs.2017.08.015
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Closed Asynchronous Dynamic Cellular Learning Automata (CADCLAs) have been reported recently. CADCLAs are hybrid models based on Cellular Automata (CAs) and Learning Automata (LAs). Because of distributed computation characteristic of CAs and probabilistic decision making nature of LAs, analyzing the performance of CADCLA based algorithms is difficult. The expediency metric has been used to study the performance of the LA based models. With respect to this metric, the performance of CADCLAs have not been studied in the literature. In this paper, we suggest sufficient conditions under them a CADCLA is expedient. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：371 / 378
页数：8
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