Modified ACS Centroid Memory for Data Clustering

Volume: 15, Issue: 10, Pages: 1439 - 1449
Published: Oct 11, 2019
Abstract
Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. The key component that governs the search process in this algorithm is the management of its memory model. In contrast to other algorithms, ACO explicitly utilizes an adaptive memory, which is important to its performance in terms of producing optimal...
Paper Details
Title
Modified ACS Centroid Memory for Data Clustering
Published Date
Oct 11, 2019
Volume
15
Issue
10
Pages
1439 - 1449
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