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£107.43
Springer - Representations for Genetic and Evolutionary Algorithms
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Description
Key Features
Provides a comprehensive overview of how problem representations influence the performance of genetic and evolutionary algorithms.
Summarizes existing scientific knowledge regarding various problem representations used in the field.
Explains how basic properties like redundancy, scaling, and locality affect GEA outcomes.
Offers a detailed look at the relationship between representation and heuristic optimization methods.
Breaks from traditional research focus on operators and test problems to prioritize representation study.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3642064108
- Domain
- Amazon UK
- Release Date
- 14 October 2010
- Listed Since
- 20 September 2010
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No barcode data available
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