Hybrid Information Systems

Hybrid Information Systems

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Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.Conclusion A hybrid of genetic algorithm and fuzzy knowledge based system has been proposed to solve the maintenance schedule problem in a practical power system. The test system in this paper is a real power system consisting of twoanbsp;...


Title:Hybrid Information Systems
Author: Ajith Abraham, Mario Koeppen
Publisher:Springer Science & Business Media - 2013-11-11
ISBN-13:

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