文章基本信息

标题：Comparison on the Performance of Genetic Algorithm and Ant Colony Optimization
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作者：Pardeep Kaur ; Neetu Gupta
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4190-4194
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Image segmentation is the technique in which an image into meaningful parts .It plays an important role in the image analysis and computer version. GA algorithm are evolutionary in nature so, it proved to be very time consuming. So, to overcome the limitation of the GA based on the multilevel thresholding, Ant Colony based Optimization on multilevel thresholding segmentation algorithm will be proposed. The overall objective is to reduce the time complexity of the genetic based segmentation. We also compare results of ACO and GA and tries to find which one gives the better solution in computational time.
关键词：Ant colony optimization; Genetic algorithm; ; Image segmentation; Multilevel thresholding