Fuzzy logic tool and genetic algorithms for CAC in ATM networks

M.F. Ramalho; E.M. Scharf

doi:10.1049/el:19960672

Comparative analysis of intelligent planning methods

Proceedings of the Mavlyutov Institute of Mechanics ◽

10.21662/uim2012.2.048 ◽

2012 ◽

Vol 9 (2) ◽

pp. 53-57 ◽

Cited By ~ 2

Author(s):

O.V. Darintsev ◽

A.B. Migranov

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Fuzzy Logic ◽

Comparative Analysis ◽

Mobile Robots ◽

Sensory Information ◽

Working Environment ◽

Planning Methods ◽

Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

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Use of fuzzy logic to overcome constant problems in genetic algorithms

10.1049/cp:19951017 ◽

1995 ◽

Cited By ~ 1

Author(s):

R. Pearce

Keyword(s):

Genetic Algorithms ◽

Fuzzy Logic

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An Adaptive QoS Representation and Resource Allocation Scheme for Multimedia and Wireless ATM Networks Using Genetic Algorithms

Multiaccess, Mobility and Teletraffic in Wireless Communications: Volume 4 ◽

10.1007/978-1-4757-5920-4_31 ◽

1999 ◽

pp. 305-314

Author(s):

M. R. Sherif ◽

I. W. Habib ◽

M. Naghshineh ◽

P. Kermani

Keyword(s):

Resource Allocation ◽

Genetic Algorithms ◽

Atm Networks ◽

Wireless Atm ◽

Allocation Scheme ◽

Resource Allocation Scheme ◽

Adaptive Qos

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Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms

Advances in Evolutionary Computing for System Design - Studies in Computational Intelligence ◽

10.1007/978-3-540-72377-6_7 ◽

2007 ◽

pp. 169-187 ◽

Cited By ~ 12

Author(s):

Woei-Wan Tan ◽

Dongrui Wu

Keyword(s):

Genetic Algorithms ◽

Fuzzy Logic ◽

Fuzzy Logic Systems ◽

Type Reduction ◽

Reduction Strategies ◽

Logic Systems

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Vibration control of flexible structures using fuzzy logic and genetic algorithms

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) ◽

10.1109/acc.2000.878940 ◽

2000 ◽

Cited By ~ 3

Author(s):

Y. Shen ◽

A. Homaifar ◽

D. Chen

Keyword(s):

Genetic Algorithms ◽

Fuzzy Logic ◽

Vibration Control ◽

Flexible Structures

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Summaries of certain spatial patterns retrieved from multidate remote-sensing data

Discrete Dynamics in Nature and Society ◽

10.1155/s1026022604402027 ◽

2004 ◽

Vol 2004 (2) ◽

pp. 287-300

Author(s):

Hema Nair

Keyword(s):

Remote Sensing ◽

Genetic Algorithms ◽

Fuzzy Logic ◽

Spatial Patterns ◽

Satellite Images ◽

Remote Sensing Data ◽

Geographic Area ◽

Image Mining ◽

Sensing Data

This paper presents an approach to describe patterns in remote-sensed images utilising fuzzy logic. The truth of a linguistic proposition such as Y isF can be determined for each pattern characterised by a tuple in the database, where Y is the pattern andFis a summary that applies to that pattern. This proposition is formulated in terms of primary quantitative measures, such as area, length, perimeter, and so forth, of the pattern. Fuzzy descriptions of linguistic summaries help to evaluate the degree to which a summary describes a pattern or object in the database. Techniques, such as clustering and genetic algorithms, are used to mine images. Image mining is a relatively new area of research. It is used to extract patterns from multidated satellite images of a geographic area.

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