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๐Ÿ“

An introduction to genetic algorithms for numerical optimization

โœ Scribed by Charbonneau P.


Tongue
English
Leaves
74
Category
Library

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โœฆ Synopsis


Book, 64 p, March 2002
Contents
Optimization and hill climbing
The simplex method
Iterated simplex
A set of test problems
Performance of the simplex and iterated simplex methods
Evolution optimization and genetic algorithms
Biological evolution
The power of cumulative selection
A basic genetic algorithm
Information transfer in genetic algorithms
A genetic algorithm for numerical optimization
Overview and problem de nition
Minimal algorithmic components
Additional components
A case study
Hamming walls and creep mutation
Performance on test problems
A real application
Binary stars

โœฆ Subjects


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