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£86.98
Springer Hybrid Metaheuristics: An Emerging Approach to Optimization
18 black & white tables, biography
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Description
Key Features
Explores the application of metaheuristics like simulated annealing and tabu search to solve important optimization problems.
Covers various algorithmic methods including evolutionary computation, iterated local search, and ant colony optimization.
Discusses the benefits of hybrid metaheuristics for achieving more efficient behavior in complex problem solving.
Provides insights into how combining different optimization techniques increases overall flexibility in computational intelligence.
Part of the Studies in Computational Intelligence series, volume 114, published by Springer.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 354078294X
- Domain
- Amazon UK
- Release Date
- 11 April 2008
- Listed Since
- 28 January 2008
Barcode
No barcode data available
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