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Febri Liantoni
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Ant Colony Optimization (ACO) is a nature-inspired optimization algorithm which is motivated by ants foraging behavior. Due to its favorable advantages, ACO has been widely used to solve several NP-hard problems, including edge detection. Since ACO initially distributes ants at random, it may cause imbalance ant distribution which later affects path discovery process. In this paper an adaptive ACO is proposed to optimize edge detection by adaptively distributing ant according to gradient ana-lysis. Ants are ...
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Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Information Technology, Department of Informatics Engineering, 2014
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