| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046039164 | |
| 005 | 20200805162657 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200728s2015 gw a ob 001 0 eng d | |
| 020 | ▼a 9783662436318 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a QA75.5-76.95 |
| 082 | 0 4 | ▼a 006.3/8 ▼2 23 |
| 084 | ▼a 006.38 ▼2 DDCK | |
| 090 | ▼a 006.38 | |
| 100 | 1 | ▼a Brabazon, Anthony. |
| 245 | 1 0 | ▼a Natural computing algorithms ▼h [electronic resource] / ▼c Anthony Brabazon, Michael O'Neill, Seán McGarraghy. |
| 260 | ▼a Berlin; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015. | |
| 300 | ▼a 1 online resource (xx, 554 p.) : ▼b ill. (some col.). | |
| 490 | 1 | ▼a Natural computing series, ▼x 1619-7127 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Introduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index. |
| 520 | ▼a The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Natural computation. |
| 650 | 0 | ▼a Algorithms. |
| 700 | 1 | ▼a O'Neill, Michael. |
| 700 | 1 | ▼a McGarraghy, Seán. |
| 830 | 0 | ▼a Natural computing series. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-43631-8 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.38 | 등록번호 E14028993 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |