A novel hybrid evolutionary approach for capturing decision maker knowledge into the unequal area facility layout problem. Issue 10 (15th June 2015)

• Record Type: Journal Article
• Authors: García-Hernández, Laura; Palomo-Romero, Juan M.; Salas-Morera, Lorenzo; Arauzo-Azofra, Antonio; Pierreval, Henri
• Is Part Of: Expert systems with applications. Volume 42:Issue 10(2015)
• Page Start: 4697
• Page End: 4708
• Publication Date: 2015-06-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.01.037
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st110">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0315">We are concerned with an unequal area facility layout problem.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0320">Existing approaches are normally based on optimization, which can be insufficient in certain cases.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0325">Our interactive genetic algorithm involves the decision maker in the search for a suited solution.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0330">Our new approach based on niching methods is tested with two real problem cases.</p> </list-item> </list> </p> </sec> </abstract>