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.
Partner selection is one of the most critical issue in virtual enterprise, which has been extensively researched in recent years. It is difficult to be solved by the traditional optimization methods for partner selection is a combinatorial optimization problem. In this paper, an improved quantum swarm evolutionary algorithm based on time-varying acceleration coefficients (IQSEA_TVAC) is proposed for...
The formation of a Virtual Enterprise and the selection of its partners is an important process in the lifecycle of a Virtual Enterprise. This paper employs a binary coded ant colony optimization (ACO) algorithm for the partner selection optimization. At first, an optimization model is presented, which includes the main crucial factors for partner selection, such as running cost, reaction time and...
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.