Practical Handbook of Genetic Algorithms
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€316.20
Bilevel Programming Models
Bilevel Programming Problems
Category=PBW
Category=UYA
cervical cancer diagnosis methods
constraint handling
convergence
Data Set
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eq_computing
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evolutionary computation
feature selection
fitness
Fitness Function
function
Fuzzy Controllers
fuzzy logic optimization
Fuzzy Subsets
GA
genetic algorithm scheduling applications
Genetic Operators
GL Pattern
L3 L4 L5 L6 L7
L5 L6 L7 L8 L9
L6 L7 L8 L9 L10
Linked Lists
membership
Membership Functions
Misfit Function
Multi-objective Fitness Function
Multidimensional Scaling
multidimensional scaling algorithms
operator
Output Ripple Voltage
premature
Roc Curve
search
selection
Set Error
Solving Job Shop Scheduling Problems
space
tournament
Training Set
Training Set Error
Transportation Optimization Problems
Validation Set Error
Product details
- ISBN 9781584882404
- Weight: 1170g
- Dimensions: 152 x 229mm
- Publication Date: 07 Dec 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material they can use productively in their own endeavors.
For this edition, the editor again recruited authors at the top of their field and from a cross section of academia and industry, theory and practice. Their contributions detail their own research, new applications, experiment results, and recent advances. Among the applications explored are scheduling problems, optimization, multidimensional scaling, constraint handling, and feature selection and classification.
The science and art of GA programming and application has come a long way in the five years since publication of the bestselling first edition. But there still is a long way to go before its bounds are reached-we are still just scratching the surface of GA applications and refinements. By introducing intriguing new applications, offering extensive lists of code, and reporting advances both subtle and dramatic, The Practical Handbook of Genetic Algorithms is designed to help readers contribute to scratching that surface a bit deeper.
