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£143.96
Springer Hybrid Metaheuristics: 434 (Studies in Computational Intelligence, 434)
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Description
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
Product Specifications
- Brand
- Springer
- Format
- Hardcover
- ASIN
- 3642306705
- Domain
- Amazon UK
- Release Date
- 01 August 2012
- Listed Since
- 26 April 2012
Barcode
No barcode data available
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