On the Relationship Between Boolean and Fuzzy Cellular Automata

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the edge feature points; finally the images can be stitched by matched edge feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.

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A novel image encryption scheme based on hyper chaotic systems and fuzzy cellular automata

2014 22nd Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/iraniancee.2014.6999706 ◽

2014 ◽

Cited By ~ 3

Author(s):

Samaneh Zamani ◽

Mahdi Javanmard ◽

Nima Jafarzadeh ◽

Mostafa Zamani

Keyword(s):

Cellular Automata ◽

Image Encryption ◽

Chaotic Systems ◽

Encryption Scheme ◽

Fuzzy Cellular Automata

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Research on Cellular Artificial Bee Colony Algorithm and its Computational Experiments

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.284-287.3168 ◽

2013 ◽

Vol 284-287 ◽

pp. 3168-3172

Author(s):

Ren Bin Xiao ◽

Ying Cong Wang

Keyword(s):

Population Structure ◽

Cellular Automata ◽

Selection Pressure ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Exploration And Exploitation ◽

Fixed Position ◽

Bee Colony ◽

Search Mechanism ◽

The Relationship

It is the research hotspot for evolutionary algorithms to solve the contradiction between exploration and exploitation. Cellular artificial bee colony (CABC) algorithm is proposed by combining cellular automata with artificial bee colony algorithm from the perspective of the neighborhood in this paper. Each bee in the population structure defined in CABC has a fixed position and can only interact with bees in its neighborhood. The overlap between neighborhoods of different bees may make a bee an employed bee in one neighborhood and an onlooker bee in another neighborhood and vice versa, which increases the diversity of the population. The neighborhood and evolutionary rule help to control the selection pressure effectively, and the improved search mechanism in artificial bee colony algorithm is proposed to enhance the local search ability. The experimental results tested on four benchmark functions show that CABC can further balance the relationship between exploration and exploitation when compared with three ABC-based algorithms.

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