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Swarm intelligence and bio-inspired computation : theory and applications /
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of s...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Elsevier,
2013.
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| Colección: | Elsevier insights.
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Swarm intelligence and bio-inspired computation : |b theory and applications / |c edited by Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu. |
| 264 | 1 | |a Oxford : |b Elsevier, |c 2013. | |
| 300 | |a 1 online resource (xxii, 422 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Elsevier insights | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a pt. 1. Theoretical aspects of swarm intelligence and bio-inspired computing -- pt. 2. Applications and case studies. | |
| 520 | |a Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and futu. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Swarm intelligence. | |
| 650 | 0 | |a Natural computation. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 2 | |a Algorithms | |
| 650 | 6 | |a Calcul naturel. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Natural computation |2 fast | |
| 650 | 7 | |a Swarm intelligence |2 fast | |
| 700 | 1 | |a Yang, Xin-She, |e editor. | |
| 700 | 1 | |a Cui, Zhihua, |e editor. | |
| 700 | 1 | |a Xiap, Renbin, |e editor. | |
| 700 | 1 | |a Gandomi, Amir Hossein, |e editor. | |
| 700 | 1 | |a Karamanoglu, Mehmet, |e editor. | |
| 758 | |i has work: |a Swarm intelligence and bio-inspired computation (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH8bqrYGPf9Y86gkPRVBKb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | |c Hardback |z 9780124051638 | |
| 830 | 0 | |a Elsevier insights. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1207291 |z Texto completo |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780124051638/?ar |z Texto completo |
| 880 | 8 | |6 505-00/(S |a 5.2.2.3 Time-Dependent Response Threshold Model -- 5.2.3 Some Analysis -- 5.3 Modeling and Simulation of Ant Colony's Labor Division with Multitask -- 5.3.1 Background Analysis -- 5.3.2 Design and Implementation of Ant Colony's Labor Division Model with Multitask -- 5.3.2.1 Design of Ant Colony's Labor Division Model with Multitask -- Environmental Stimuli -- Agent Attributes -- Probability of Participation and Exit -- Simulation Principle -- 5.3.2.2 Implementation of Ant Colony's Labor Division Model with Multitask -- 5.3.3 Supply Chain Virtual Enterprise Simulation -- 5.3.3.1 Simulation Example and Parameter Settings -- 5.3.3.2 Simulation Results and Analysis -- 5.3.4 Virtual Organization Enterprise Simulation -- 5.3.4.1 Simulation Example and Parameter Settings -- 5.3.4.2 Simulation Results and Analysis -- 5.3.5 Discussion -- 5.4 Modeling and Simulation of Ant Colony's Labor Division with Multistate -- 5.4.1 Background Analysis -- 5.4.2 Design and Implementation of Ant Colony's Labor Division Model with Multistate -- 5.4.2.1 Design of Ant Colony's Labor Division Model with Multistate -- Stimulus Values in Multitask Environment -- Relative Environment Stimulus Value sαβ and Relative Threshold θαβ -- Agent State Transformation -- 5.4.2.2 Implementation of Ant Colony's Labor Division Model with Multistate -- 5.4.3 Simulation Example of Ant Colony's Labor Division Model with Multistate -- 5.4.3.1 Simulation and Experiment Environment -- 5.4.3.2 Parameters of the Simulation Model -- 5.4.3.3 Simulation Results -- 5.4.3.4 Analysis of Results -- 5.5 Modeling and Simulation of Ant Colony's Labor Division with Multiconstraint -- 5.5.1 Background Analysis -- 5.5.2 Design and Implementation of Ant Colony's Labor Division Model with Multiconstraint -- 5.5.2.1 Design of Ant Colony's Labor Division Model with Multiconstraint. | |
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