Bio-Inspired Computational Algorithms and Their Applications / / edited by Shangce Gao.
Bio-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 diffi...
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Place / Publishing House: | Rijeka : : InTech,, 2012. ©2012 |
Year of Publication: | 2012 |
Language: | English |
Physical Description: | 1 online resource (xiii, 434 pages) :; illustrations (some color) |
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(CKB)3230000000075637 (NjHacI)993230000000075637 (oapen)https://directory.doabooks.org/handle/20.500.12854/65712 (EXLCZ)993230000000075637 |
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Gao, Shangce edt Bio-Inspired Computational Algorithms and Their Applications / edited by Shangce Gao. IntechOpen 2012 Rijeka : InTech, 2012. ©2012 1 online resource (xiii, 434 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. Includes bibliographical references. Open access Unrestricted online access star Bio-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. English Computer programming. Algorithms & data structures 953-51-0214-1 Gao, Shangce, editor. |
language |
English |
format |
eBook |
author2 |
Gao, Shangce, |
author_facet |
Gao, Shangce, |
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s g sg s g sg |
author2_role |
TeilnehmendeR |
title |
Bio-Inspired Computational Algorithms and Their Applications / |
spellingShingle |
Bio-Inspired Computational Algorithms and Their Applications / |
title_full |
Bio-Inspired Computational Algorithms and Their Applications / edited by Shangce Gao. |
title_fullStr |
Bio-Inspired Computational Algorithms and Their Applications / edited by Shangce Gao. |
title_full_unstemmed |
Bio-Inspired Computational Algorithms and Their Applications / edited by Shangce Gao. |
title_auth |
Bio-Inspired Computational Algorithms and Their Applications / |
title_new |
Bio-Inspired Computational Algorithms and Their Applications / |
title_sort |
bio-inspired computational algorithms and their applications / |
publisher |
IntechOpen InTech, |
publishDate |
2012 |
physical |
1 online resource (xiii, 434 pages) : illustrations (some color) |
isbn |
953-51-5638-1 953-51-0214-1 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.6 B565 42012 |
illustrated |
Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
001 - Knowledge |
dewey-full |
001.642 |
dewey-sort |
11.642 |
dewey-raw |
001.642 |
dewey-search |
001.642 |
work_keys_str_mv |
AT gaoshangce bioinspiredcomputationalalgorithmsandtheirapplications |
status_str |
n |
ids_txt_mv |
(CKB)3230000000075637 (NjHacI)993230000000075637 (oapen)https://directory.doabooks.org/handle/20.500.12854/65712 (EXLCZ)993230000000075637 |
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Bio-Inspired Computational Algorithms and Their Applications / |
author2_original_writing_str_mv |
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