NDLI: An Enhanced Attribute Co-evolutionary Game Reduction Algorithm by Integrating Self-adaptive Multi-level Nash Equilibrium

Content Provider	IET Digital Library
Author	Ding, Weiping Guan, Zhijin Shi, Quan
Abstract	In order to further analyze the dynamical behavior of co-evolutionary populations in minimum attribute reduction, an Enhanced attribute co-evolutionary game reduction (EACGR) algorithm by integrating selfadaptive multi-level Nash equilibrium is proposed in this paper. First, a self-adaptive multi-level Nash game model with cross co-evolution is designed to provide the better solution for the dynamical symmetric co-evolution of multi-populations. Second, the profit matrix of elitist energy is constructed to explore the payoff mechanism of co-evolutionary selection. And then a novel Nash equilibrium strategy is adopted to perform attribute co-evolutionary game reduction so that the admissible balance of attribute reduction can be well achieved. Experimental results indicate that EACGR has the higher performance of minimum attribute reduction, and the application into 3D brain MRI segmentation with promising results indicates its stronger robustness and practicability.
Starting Page	13
Ending Page	19
Page Count	7
ISSN	10224653
Volume Number	25
e-ISSN	20755597
Issue Number	Issue 1, Jan (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/25/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.01.003
Journal	Chinese Journal of Electronics
Publisher Date	2016-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	3D Brain MRI Segmentation Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Brain Co-evolutionary Populations Coevolutionary Selection Computer Vision And Image Processing Technique Cross Co-evolution EACGR Elitist Energy Enhanced Attribute Co-evolutionary Game Reduction Algorithm Evolutionary Computation Game Theory Image Segmentation Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy Minimum Attribute Reduction Optical, Image And Video Signal Processing Optimisation Technique Payoff Mechanism Probability Theory Profit Matrix Self-adaptive Multilevel Nash Equilibrium Spectroscopy Statistics Stochastic Linearised SCUC
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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