@inproceedings{f7bbfe4918724aa4a15eb5f05630b632,
title = "Steady state memetic algorithm for partial shape matching",
abstract = "Shape matching teclmiques are important in machine intelligence, especially in applications such as robotics. Currently, there are three major approaches to shape recognition: statistical, syntactic and neural approaches. This paper presents a fourth approach: evolutionary algorithms. A steady state memetic algorithm is shown to be successful in matclfing shapes even when they are partially obscured, and even in the presence of noise in the input image.",
author = "Ender Ozcan and Mohan, {Chilukuri K.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 7th Annual Conference on Evolutionary Programming, EP 1998 ; Conference date: 25-03-1998 Through 27-03-1998",
year = "1998",
doi = "10.1007/bfb0040804",
language = "English (US)",
isbn = "3540648917",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "527--536",
editor = "V.W. Porto and N. Saravanan and D. Waagen and A.E. Eiben",
booktitle = "Evolutionary Programming VII - 7th International Conference, EP 1998, Proceedings",
}