Evolutionary computation / (Record no. 71068)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03227nam a2200361Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429175411 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180727s2000 flu b ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429175411 |
| -- | (e-book : PDF) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Dumitrescu, D., |
| 245 10 - TITLE STATEMENT | |
| Title | Evolutionary computation / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (424 pages). |
| 490 1# - SERIES STATEMENT | |
| Series statement | International series on computational intelligence |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | chapter 1 Principles of evolutionary computation -- chapter 2 Genetic algorithms -- chapter 3 Basic selection schemes in evolutionary algorithms -- chapter 4 Selection based on scaling and ranking mechanisms -- chapter 5 Further selection strategies -- chapter 6 Recombination operators within binary encoding -- chapter 7 Mutation operators and related topics -- chapter 8 Schema theorem, building blocks, and related topics -- chapter 9 Real-valued encoding -- chapter 10 Hybridization, parametersetting, and adaptation -- chapter 11 Adaptive representations: messy genetic algorithms, delta coding, and diploidic representation -- chapter 12 Evolution strategies and evolutionary programming -- chapter 13 Population models and parallel implementations -- chapter 14 Genetic programming -- chapter 15 Learning classifier systems -- chapter 16 Applications of evolutionary computation. |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc | Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation.Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Dumitrescu, A., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Jain, Lakhmi C., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Lazzerini, Beatrice, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781482273960 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Boca Raton, FL : |
| -- | CRC Press, an imprint of Taylor and Francis, |
| -- | 2000. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Evolutionary programming (Computer science) |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Computer Engineering. |
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