Burke, Edmund; Kendall, Graham; Newall, Jim; Hart, Emma; Ross, Peter; Schulenburg, Sonia Hyper-heuristics: an emerging direction in modern search technology. (English) Zbl 1102.90377 Glover, Fred (ed.) et al., Handbook of metaheuristics. Boston, MA: Kluwer Academic Publishers (ISBN 1-4020-7263-5/hbk). Int. Ser. Oper. Res. Manag. Sci. 57, 457-474 (2003). Summary: This chapter introduces and overviews an emerging methodology in search and optimization. One of the key aims of these new approaches, which have been termed hyper-heuristics, is to raise the level of generality at which optimization systems can operate. An objective is that hyper-heuristics will lead to more general systems that are able to handle a wide range of problem domains rather than current meta-heuristic technology which tends to be customized to a particular problem or a narrow class of problems. Hyper-heuristics are broadly concerned with intelligently choosing the right heuristic or algorithm in a given situation. Of course, a hyper-heuristic can be (often is) a (meta-)heuristic and it can operate on (meta-)heuristics. In a certain sense, a hyper-heuristic works at a higher level when compared with the typical application of meta-heuristics to optimization problems, i.e., a hyper-heuristic could be thought of as a (meta)-heuristic which operates on lower level (meta-)heuristics. In this chapter we will introduce the idea and give a brief history of this emerging area. In addition, we will review some of the latest work to be published in the field.For the entire collection see [Zbl 1058.90002]. Cited in 69 Documents MSC: 90C59 Approximation methods and heuristics in mathematical programming 90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming Keywords:Metaheuristic; Heuristic Software:Hyperheuristics PDFBibTeX XMLCite \textit{E. Burke} et al., Int. Ser. Oper. Res. Manag. Sci. 57, 457--474 (2003; Zbl 1102.90377) Full Text: DOI