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Titlebook: Innovations in Swarm Intelligence; Chee Peng Lim,Lakhmi C. Jain,Satchidananda Dehuri Book 2009 Springer-Verlag Berlin Heidelberg 2009 Desi

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K. N. Krishnanand,D. Ghosee away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions..What You Will Learn.Understand the most important AI concepts, incl978-1-4842-6205-4978-1-4842-6206-1
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Denton Cockburn,Ziad Kobtie away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions..What You Will Learn.Understand the most important AI concepts, incl978-1-4842-6205-4978-1-4842-6206-1
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Jia Zeng,Reda Alhajje away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions..What You Will Learn.Understand the most important AI concepts, incl978-1-4842-6205-4978-1-4842-6206-1
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1860-949X irected to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who 978-3-642-26056-8978-3-642-04225-6Series ISSN 1860-949X Series E-ISSN 1860-9503
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A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization,onally, we also present a study in which the performance of different PSO-based approaches is assessed in several multimodal optimization problems. Finally, a case study consisting on the search of solutions for systems of nonlinear equations is also provided.
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Agent Specialization in Complex Social Swarms,nd an established metric that quantifies the level of agent specialization, we find that social influence indeed leads to an increase in the division of labour..We further investigate the sensitivity of the social influence rate on the overall level of system specialization. The social influence rat
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Integrating Swarm Intelligent Algorithms for Translation Initiation Sites Prediction,es, each of which is implemented by an independent problem solver agent with a unique expertise. A generalized layered framework is proposed to facilitate the system to take advantage of the synergy of having multiple agents working together and arriving at a single final prediction. In this chapter
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