Hierarchical multi-classifier system design based on evolutionary computation technique

2007 ◽  
Vol 33 (1) ◽  
pp. 91-108 ◽  
Author(s):  
Hau-San Wong ◽  
Kent K. T. Cheung ◽  
Chun-Ip Chiu ◽  
Yang Sha ◽  
Horace H. S. Ip
Keyword(s):  
Evolutionary Computation ◽  
System Design ◽  
Classifier System ◽  
Computation Technique

scholarly journals Real-Valued GCS Classifier System

2007 ◽  
Vol 17 (4) ◽  
pp. 539-547 ◽  
Author(s):  
Łukasz Cielecki ◽  
Olgierd Unold
Keyword(s):  
Evolutionary Computation ◽  
Real World ◽  
Learning Classifier Systems ◽  
Classifier Systems ◽  
Context Free Grammar ◽  
New Model ◽  
Classifier System ◽  
Learning Classifier ◽  
Context Free ◽  
Real World Problems

Real-Valued GCS Classifier SystemLearning Classifier Systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. A new model of LCSs is introduced to classify realvalued data. The approach applies the continous-valued context-free grammar-based system GCS. In order to handle data effectively, the terminal rules were replaced by the so-called environment probing rules. The rGCS model was tested on the checkerboard problem.

scholarly journals Modeling and Simulation for High Energy Sub-Nuclear Interactions Using Evolutionary Computation Technique

2016 ◽  
Vol 04 (01) ◽  
pp. 53-65
Author(s):  
Mahmoud Y. El-Bakry ◽  
El-Sayed A. El-Dahshan ◽  
Amr Radi ◽  
Mohamed Tantawy ◽  
Moaaz A. Moussa
Keyword(s):  
Modeling And Simulation ◽  
Evolutionary Computation ◽  
High Energy ◽  
Computation Technique ◽  
Nuclear Interactions

2D-PAGE Analysis Using Evolutionary Computation

2011 ◽  
pp. 1583-1588
Author(s):  
Pablo Mesejo ◽  
Enrique Fernández-Blanco ◽  
Diego Martínez-Feijóo ◽  
Francisco J. Blanco
Keyword(s):  
Particle Swarm Optimization ◽  
Optical Flow ◽  
Evolutionary Computation ◽  
Swarm Optimization ◽  
2D Page ◽  
Computation Technique ◽  
Ideal Image ◽  
Medical Diagnostic ◽  
The Creation ◽  
Selection Of

This paper presents the preliminary studies for the creation of a new tool to assist in medical diagnostic. The tool will help in the analysis of 2D-PAGE images. In order to create a 2D-PAGE image of an ideal patient—the patient could be healthy or ill—the tool will help us in the creation of an image that facilitates and speeds up future diagnostics. The creation of a master image has motivated the development of a tool to alignment gel images. The tool will make easier the correspondence among the proteins into the ideal image and the ones of a new image. Due to the fact that image registering process is quite complex, we use the Intel’s library OpenCV which provides functions to calculate optical flow and translation vectors. This library introduces into the project a set of variables unknown by the facultative. To solve this, an automatic selection of values for this set of variables is necessary. This last task is made with the Evolutionary Computation technique called Particle Swarm Optimization (Kennedy, R. & Eberhart, J. 1995)

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