An Introduction to Genetic Algorithms
β Mitchell Melanie
π Library
π
1999
π The MIT Press
π English
β¦ LIBER β¦
π
An Introduction to Genetic Algorithms
β Scribed by Melanie Mitchell
- Publisher
- The MIT Press
- Year
- 1998
- Tongue
- English
- Leaves
- 162
- Series
- Complex Adaptive Systems
- Edition
- Third Printing
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°;ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ°;ΠΠ»Π³ΠΎΡΠΈΡΠΌΡ ΠΈ ΡΡΡΡΠΊΡΡΡΡ Π΄Π°Π½Π½ΡΡ ;
π SIMILAR VOLUMES
An Introduction to Genetic Algorithms
β Melanie Mitchell
π Library
π
1996
π The MIT Press
π English
Mitchell's book provvides an in-depth intodution to genetic algorithms in areas such as machine learning , scientific modeling, and "artificial life". _An Introduction to Genetic Algorithms_ is a terse and accesible text allowing readers to implement and experiment with genetic algorithms (GA's) - s
An introduction to genetic algorithms
β Mitchell M.
π Library
π
1999
π English
An Introduction to Genetic Algorithms (C
β Melanie Mitchell
π Library
π
1998
π MIT Press
π English
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to
An Introduction to Genetic Algorithms (C
β Melanie Mitchell
π Library
π
1998
π The MIT Press
π English
I have to agree with all of johnnied7 criticisms. This book is pitched at a level too advanced for an introduction. It also reads and is structured like a research paper. Not recommended.
An introduction to genetic algorithms fo
β Charbonneau P.
π Library
π English
Book, 64 p, March 2002<br/>Contents<br/>Optimization and hill climbing<br/>The simplex method<br/>Iterated simplex<br/>A set of test problems<br/>Performance of the simplex and iterated simplex methods<br/>Evolution optimization and genetic algorithms<br/>Biological evolution<br/>The power of cumula