Product Description
Category (sub): Computer (software)
Isbn: 979-731 - 727-7
Author: Suyanto
Page size: 16x23 cm2 xiv + 162 pages
Print: I, 2nd published edition
Year rising: 2007
Weight: 229 grams
Genetic algorithm (Ag) It is one of the most suitable computational techniques for problems with very large solution spaces. The main advantage of ag is its adaptivity. Once we can encode the problem into the chromosome and build the right fitness function, Then we can build an ag to solve that problem. The problem is that the problem is that the optimum parameter values of the ag are sufficiently tiring.
Ag is understandable if we 've implemented it into the programming language. Why matlab? Because within the matlab there are many functions for matrix operations.
This book diskusses:
Application of genetic algorithms
Basic genetic algorithm
Implement genetic algorithms in matlab
Genetic algorithm characteristics
Advanced genetic algorithms
Product Specifications
Language | Bahasa Indonesia |
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