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Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review

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Methods and Applications of Artificial Intelligence (SETN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2308))

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Abstract

The increased popularity of hybrid intelligent systems in recent times lies to the extensive success of these systems in many real-world complex problems. The main reason for this success seems to be the synergy derived by the computational intelligent components, such as machine learning, fuzzy logic, neural networks and genetic algorithms. Each of these methodologies provides hybrid systems with complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. In this paper, we briefly present most of those computational intelligent combinations focusing in the development of intelligent systems for the handling of problems in real-world applications. We emphasize the appropriateness of hybrid computational intelligence techniques for dealing with specific problems, we try to point particularly suitable areas of application for different combinations of intelligent techniques and we briefly state advantages and disadvantages of the “hybrid” idea, seen as the next theoretical step in the evolving impact and success of artificial intelligence tools and techniques.

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Authors and Affiliations

  1. Business School, Dept. of Business Administration, University of the Aegean, 8 Michalon St., 82100, Chios, Greece

    Athanasios Tsakonas & George Dounias

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  1. Athanasios Tsakonas
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  2. George Dounias
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  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    Ioannis P. Vlahavas

  2. N.C.S.R. “Demokritos”, Inst. of Informatics & Telecommunications Software and Knowledge Engineering Lab, 15310, Aghia Paraskevi, Greece

    Constantine D. Spyropoulos

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© 2002 Springer-Verlag Berlin Heidelberg

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Tsakonas, A., Dounias, G. (2002). Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_44

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  • DOI: https://doi.org/10.1007/3-540-46014-4_44

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  • Online ISBN: 978-3-540-46014-5

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