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£138.79
Springer Biologically-Inspired Optimisation Methods - Springer Studies 210
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Description
Key Features
Covers meta-heuristic search algorithms including genetic algorithms, particle swarm optimisation and ant colony optimisation methodologies.
Explores how biological systems inspire parallel algorithms and computational solutions for complex optimisation problems.
Part of Springer's Studies in Computational Intelligence series (volume 210), providing peer-reviewed academic content.
Combines evolutionary theory with artificial intelligence applications for practical problem-solving across multiple industries.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3642012612
- Domain
- Amazon UK
- Release Date
- 25 May 2009
- Listed Since
- 23 March 2009
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