The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Ant Colony Optimization (ACO) is a swarm intelligence technique often applied to find solutions to hard optimization problems. In this paper, we present a new decentralized peer-to-peer approach for implementing ACO on distributed memory clusters. In addition, the approach is augmented with a fuzzy logic controller to reactively adapt several parameters of the ACO as a method of offsetting the increased...
In this paper we propose a fuzzy system for parameter adaptation in ant colony optimization (ACO). ACO is a method inspired in the behavior of ant colonies to find food and its objective are discrete optimization problems. We developed various fuzzy systems for parameter adaptation and in this paper a comparison was made between them. The use of a fuzzy system is to control the diversity of the solutions,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.