Application of Immune Genetic Algorithm in Survey Data Processing

Wei Chen

doi:10.4028/www.scientific.net/AMM.241-244.1737

Paper Titles

The Research of Least Square Support Vector Machine Model and its Simplified Method
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A System of QR Barcode Recognition Based on Mobile Phone
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Real Time Dynamic Threshold Clustering Method for Ancient Chinese Character Identification
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Research on Automatic Identification of Airplane Targets on Infrared Images
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Application of Immune Genetic Algorithm in Survey Data Processing
p.1737

FPGA-Based Implementation of Face Recognition Based on Gabor and DCT
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A Study on the Agent-Based Vehicles Dispatching Optimization at Container Terminals
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Study on Auto-Search Algorithm Based on Subsection Correlation for Loran-C
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Design of WSN-Based Intelligent Light Control System
p.1756

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Application of Immune Genetic Algorithm in Survey...

Application of Immune Genetic Algorithm in Survey Data Processing

Abstract:

The immune genetic algorithm is a kind of heuristic algorithm which simulates the biological immune system and introduces the genetic operator to its immune operator. Conquering the inherent defects of genetic algorithm that the convergence direction can not be easily controlled so as to result in the prematureness；it is characterized by a better global search and memory ability. The basic principles and solving steps of the immune genetic algorithm are briefly introduced in this paper. The immune genetic algorithm is applied to the survey data processing and experimental results show that this method can be practicably and effectively applied to the survey data processing.