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Research on Genetic Algorithm and Ant Colony Optimization Algorithm and Its Application on Multi-CCD Sensor Planing

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2 Author(s)
Li Li ; Dept. of Aerial Instrum. & Electr. Eng., First Aeronaut. Inst. of Air Force, Xinyang, China ; De-ying Li

Based on a deep discussion on the algorithm of multi-CCD sensor planning, genetic algorithm ant algorithm (GAAA) is proposed in this paper. GAAA is superior to ant colony algorithm in time efficiency and also superior to genetic algorithm in solution efficiency. Through optimizing, it improves the resulting efficiency of digital image processing greatly. moreover, it is more convenient to the latter application of digital image dividing, identification, recovering, measuring as well as three-dimensional reconstruction.

Published in:

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on  (Volume:1 )

Date of Conference:

16-17 Dec. 2010