Grobler, JEngelbrecht, APKendall, GYadavalli, VSS2015-10-302015-10-302014-07Grobler, J, Engelbrecht, AP, Kendall, G and Yadavalli, VSS. 2014. Heuristic space diversity management in a meta-hyper-heuristic framework. In: 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 6-11 July 2014, 7pp.http://hdl.handle.net/10204/8222Copyright: IEEE. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 6-11 July 2014. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This paper introduces the concept of heuristic space diversity and investigates various strategies for the management of heuristic space diversity within the context of a meta-hyper-heuristic algorithm. Evaluation on a diverse set of floating-point benchmark problems show that heuristic space diversity has a significant impact on hyper-heuristic performance. The increasing heuristic space diversity strategies performed the best out of all strategies tested. Good performance was also demonstrated with respect to another popular multi-method algorithm and the best performing constituent algorithm.enHeuristic space diversityMulti-method algorithmsSolution space diversitySSDComputationConference PresentationGrobler, J., Engelbrecht, A., Kendall, G., & Yadavalli, V. (2014). Heuristic space diversity management in a meta-hyper-heuristic framework. IEEE. http://hdl.handle.net/10204/8222Grobler, J, AP Engelbrecht, G Kendall, and VSS Yadavalli. "Heuristic space diversity management in a meta-hyper-heuristic framework." (2014): http://hdl.handle.net/10204/8222Grobler J, Engelbrecht A, Kendall G, Yadavalli V, Heuristic space diversity management in a meta-hyper-heuristic framework; IEEE; 2014. http://hdl.handle.net/10204/8222 .TY - Conference Presentation AU - Grobler, J AU - Engelbrecht, AP AU - Kendall, G AU - Yadavalli, VSS AB - This paper introduces the concept of heuristic space diversity and investigates various strategies for the management of heuristic space diversity within the context of a meta-hyper-heuristic algorithm. Evaluation on a diverse set of floating-point benchmark problems show that heuristic space diversity has a significant impact on hyper-heuristic performance. The increasing heuristic space diversity strategies performed the best out of all strategies tested. Good performance was also demonstrated with respect to another popular multi-method algorithm and the best performing constituent algorithm. DA - 2014-07 DB - ResearchSpace DP - CSIR KW - Heuristic space diversity KW - Multi-method algorithms KW - Solution space diversity KW - SSD KW - Computation LK - https://researchspace.csir.co.za PY - 2014 T1 - Heuristic space diversity management in a meta-hyper-heuristic framework TI - Heuristic space diversity management in a meta-hyper-heuristic framework UR - http://hdl.handle.net/10204/8222 ER -