| 000 | 00990camuu22002775a 4500 | |
| 001 | 000045315928 | |
| 005 | 20061219145821 | |
| 008 | 051026s2006 gw a b 001 0 eng d | |
| 010 | ▼a 2005936350 | |
| 020 | ▼a 3540298495 (hd.bd.) | |
| 035 | ▼a (KERIS)REF000012888177 | |
| 040 | ▼a OHX ▼c OHX ▼d BAKER ▼d HNK ▼d CtY ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a MLCM 2006/41236 (Q) |
| 082 | 0 4 | ▼a 006.31 ▼2 22 |
| 090 | ▼a 006.31 ▼b G3283 | |
| 245 | 0 0 | ▼a Genetic systems programming : ▼b theory and experiences / ▼c Nadia Nedjah, Ajith Abraham, Luiza de Macedo Mourelle (eds.). |
| 260 | ▼a Berlin : ▼b Springer , ▼c c2006. | |
| 300 | ▼a xxii, 230 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 0 | ▼a Studies in computational intelligence ; ▼v v. 13 |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Genetic programming (Computer science) |
| 700 | 1 | ▼a Nedjah, Nadia. |
| 700 | 1 | ▼a Abraham, Ajith ▼d 1968- |
| 700 | 1 | ▼a Macedo Mourelle, Luiza de. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.31 G3283 | 등록번호 121136173 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
New feature
Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
정보제공 :
목차
Evolutionary Computation: from Genetic Algorithms to Genetic Programming.- Automatically Defined Functions in Gene Expression Programming.- Evolving Intrusion Detection Systems.- Evolutionary Pattern Matching Using Genetic Programming.- Genetic Programming in Data Modelling.- Stock Market Modeling Using Genetic Programming Ensembles.- Evolutionary Digital Circuit Design Using Genetic Programming.- Evolving Complex Robotic Behaviors Using Genetic Programming.- Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming.
정보제공 :