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.
This study addresses the multistage hybrid flow shop scheduling problem. The objective of scheduling is to assign each operation to a machine out of the set of eligible machines and to determine the processing operation sequences on the machines so that the makespan is minimized. Hence to solve this NP-hard problem, an integrated ant colony optimization algorithm is proposed. To evaluate the performance...
In this paper we address a bi-criteria hybrid flow shop scheduling problem consisting in the earliness and tardiness penalties with different job due dates. This problem is proven to be NP-hard, and consequently the development of heuristic and meta-heuristic approaches to solve it is well justified. So, we propose an ant colony optimization method based on the ant colony system (ACS) to deal with...
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.