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The Simple Genetic Algorithm
"The Simple Genetic Algorithm (SGA) is a classical form of genetic search. Viewing the SGA as a mathematical object, Michael D. Vose provides an introduction to what is known (i.e., proven) about the theory of the SGA. He also makes available algorithms for the computation of mathematical ob...
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Format: | Printed Book |
Published: |
New Delhi
Prentice Hall of India Private Limited
2007
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Series: | Complex adaptive systems.
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Subjects: |
LEADER | 01610nam a2200181Ia 4500 | ||
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999 | |c 26917 |d 26917 | ||
020 | |a 9788120324596 | ||
082 | |a 005.1 VOS-S | ||
100 | |a Michael D Vose | ||
245 | |a The Simple Genetic Algorithm | ||
260 | |a New Delhi |b Prentice Hall of India Private Limited |c 2007 | ||
300 | |a ix, 251 pages : illustrations (some color) ; 24 cm. | ||
490 | |a Complex adaptive systems. | ||
505 | |a 1. Introduction -- 2. Notation -- 3. Random Heuristic Search -- 4. The Simple Genetic Algorithm -- 5. Implementation -- 6. The Walsh Transform -- 7. Computing with the Heuristic -- 8. Basic Examples -- 9. The Inverse Heuristic -- 10. Focused Heuristics -- 11. Linear Fitness -- 12. Perturbation Arguments -- 13. Transient Behavior -- 14. Asymptotic Behavior -- 15. Hyperbolicity -- 16. Geometric Invariance -- 17. Quotients -- 18. Models -- 19. Schemata. | ||
520 | |a "The Simple Genetic Algorithm (SGA) is a classical form of genetic search. Viewing the SGA as a mathematical object, Michael D. Vose provides an introduction to what is known (i.e., proven) about the theory of the SGA. He also makes available algorithms for the computation of mathematical objects related to the SGA."--BOOK JACKET. "Although he describes the SGA in terms of heuristic search, the book is not about search or optimization perse. Rather, the focus is on the SGA as an evolutionary system."--Jacket. | ||
650 | |a Genetic algorithms. Algorithmes génétiques. | ||
942 | |c BK | ||
952 | |0 0 |1 0 |4 0 |6 005_100000000000000_VOSS |7 0 |9 29476 |a DCB |b DCB |d 2015-09-01 |l 0 |o 005.1 VOS-S |p DCB279 |r 2015-09-01 |w 2019-07-19 |y BK |