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dc.contributor.authorJavier Del Ser Lorente*
dc.date.accessioned2021-02-11T15:15:12Z
dc.date.available2021-02-11T15:15:12Z
dc.date.issued2017*
dc.date.submitted2019-10-03 07:51:50*
dc.identifier36898*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/49256
dc.description.abstractIn the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.otherPhysical Sciences*
dc.subject.otherEngineering and Technology*
dc.subject.otherAlgorithm Analysis*
dc.subject.otherComputer and Information Science*
dc.subject.otherComputer Science and Engineering*
dc.titleHeuristics and Hyper-Heuristics - Principles and Applications*
dc.typebook
oapen.identifier.doi10.5772/66267*
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6*
oapen.relation.isbn9789535133841*
oapen.relation.isbn9789535133834*
oapen.pages136*
oapen.edition1st Edition*


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