A new hybrid matheuristic optimization algorithm for solving design and network engineering problems. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Chagwiza, G.; Jones, B. C.; Hove-Musekwa, S. D.; Mtisi, S.
• Is Part Of: International journal of management science and engineering management. Volume 13:Issue 1(2018)
• Page Start: 11
• Page End: 19
• Publication Date: 2018-01-02
• Subjects: Hybrid algorithm -- Grotschel–Holland algorithm -- Max–Min Ant System -- design and network engineering -- optimization; 90B15 -- 90C59 -- 90C27; Management science -- Periodicals; Engineering -- Management -- Periodicals; Engineering -- Management; Management science; Periodicals; 658.005
• DOI: 10.1080/17509653.2016.1269136
• Languages: English
• ISSNs: 1750-9661

Abstract

Abstract: A hybrid matheuristic algorithm is formulated by combining Grotschel–Holland and Max–Min Ant System algorithms to solve design and network engineering problems. In the majority of our examples, the hybrid algorithm seems promising. The matheuristic has the ability to increase exploration and it maximizes exploitation of various solutions and the certainty of exact methods to find a solution. Further, a recommended study direction is to improve the algorithm to solve higher-order polynomial type problems efficiently.