Heuristics and Hyper-Heuristics Principles and Applications
In 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 com...
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Format: | Electronic Book Chapter |
Language: | English |
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IntechOpen
2017
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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020 | |a 9789535146773 | ||
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024 | 7 | |a 10.5772/66267 |c doi | |
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042 | |a dc | ||
072 | 7 | |a UMB |2 bicssc | |
100 | 1 | |a Del Ser Lorente, Javier |4 edt | |
700 | 1 | |a Del Ser Lorente, Javier |4 oth | |
245 | 1 | 0 | |a Heuristics and Hyper-Heuristics |b Principles and Applications |
260 | |b IntechOpen |c 2017 | ||
300 | |a 1 electronic resource (136 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a In 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
546 | |a English | ||
650 | 7 | |a Algorithms & data structures |2 bicssc | |
653 | |a bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization | ||
856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/5966/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/129511 |7 0 |z DOAB: description of the publication |