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The Scientific World Journal
Volume 2013, Article ID 971592, 10 pages
Research Article

An Innovative Thinking-Based Intelligent Information Fusion Algorithm

1School of Computer Science and Technology, Jilin University, Changchun 130012, China
2School of Software, Changchun University of Technology, Changchun 130012, China

Received 8 April 2013; Accepted 30 April 2013

Academic Editors: L. He and P. Melin

Copyright © 2013 Huimin Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study proposes an intelligent algorithm that can realize information fusion in reference to the relative research achievements in brain cognitive theory and innovative computation. This algorithm treats knowledge as core and information fusion as a knowledge-based innovative thinking process. Furthermore, the five key parts of this algorithm including information sense and perception, memory storage, divergent thinking, convergent thinking, and evaluation system are simulated and modeled. This algorithm fully develops innovative thinking skills of knowledge in information fusion and is a try to converse the abstract conception of brain cognitive science to specific and operable research routes and strategies. Furthermore, the influences of each parameter of this algorithm on algorithm performance are analyzed and compared with those of classical intelligent algorithms trough test. Test results suggest that the algorithm proposed in this study can obtain the optimum problem solution by less target evaluation times, improve optimization effectiveness, and achieve the effective fusion of information.