Multisensor integration and fusion for intelligent machines and systems
Multisensor integration and fusion for intelligent machines and systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Automatic correlation and calibration of noisy sensor readings using elite genetic algorithms
Artificial Intelligence
Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
Optimal and near-optimal algorithms for multiple fault diagnosiswith unreliable tests
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Applying the data fusion technique to blog opinion retrieval
Expert Systems with Applications: An International Journal
Linear combination of component results in information retrieval
Data & Knowledge Engineering
The weighted Condorcet fusion in information retrieval
Information Processing and Management: an International Journal
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Recently, the human immune systems have aroused researcher's interest due to it useful mechanisms which can be used and exploited for information processing in a complex cognition system. The scope of this research is not to reproduce any immune phenomenon accurately, rather to show that immune concepts can be applied to develop powerful computational tools for data processing. From this viewpoint, an improved artificial immune algorithm is presented and applied to the problems associated with image registration and configurations of multiple sensor systems. Simulation results show that the immune algorithm can successfully obtain the global optimum with less computational cost compared to other traditional algorithms. Therefore, this method has a potential application in other optimization problems.