| 000 | 02345naaaa2200301uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/65712 | ||
| 005 | 20220219213322.0 | ||
| 020 | _a2358 | ||
| 020 | _a9789535102144 | ||
| 020 | _a9789535156383 | ||
| 024 | 7 |
_a10.5772/2358 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aUM _2bicssc |
|
| 100 | 1 |
_aGao, Shangce _4edt |
|
| 700 | 1 |
_aGao, Shangce _4oth |
|
| 245 | 1 | 0 | _aBio-Inspired Computational Algorithms and Their Applications |
| 260 |
_bIntechOpen _c2012 |
||
| 300 | _a1 electronic resource (434 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aBio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aComputer programming / software development _2bicssc |
|
| 653 | _aAlgorithms & data structures | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/1940/authors_book/authors_book.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/65712 _70 _zDOAB: description of the publication |
| 999 |
_c45162 _d45162 |
||