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Search and optimization by metaheuristics: techniques and algorithms inspired by nature
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphas...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2016
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-41192-7 http://cds.cern.ch/record/2205656 |