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Metaheuristic Algorithms: Theory and Applications

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Research in Computer Science in the Bulgarian Academy of Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 934))

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Abstract

Metaheuristic is a collective concept of a series of intelligent strategies to enhance the efficiency of heuristic procedures. Metaheuristic algorithms are becoming an important part of modern optimization. A wide range of metaheuristic algorithms have emerged over the last two decades, and are becoming increasingly popular. This article presents a brief overview of the scientific research on new metaheuristic algorithms, as well as their modifications and hybridizations and its various fields of application. The results presented are limited to those proposed by scientists from the Bulgarian Academy of Sciences for the last 20 years.

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Acknowledgements

Work presented here is partially supported by the National Science Fund of Bulgaria under grants DN02/10 “New Instruments for Knowledge Discovery from Data, and their Modelling” and KP-06-H3/23 “Interactive System for Education in Modelling and Control of Bioprocesses (InSEMCoBio)”.

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  1. Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria

    Simeon Ribagin

  2. Institute of Robotics “St. Ap. and Gospeller Matthew” Bulgarian Academy of Sciences, Sofia, Bulgaria

    Velislava Lyubenova

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  1. Simeon Ribagin
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  2. Velislava Lyubenova
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Correspondence to Simeon Ribagin .

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  1. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

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Ribagin, S., Lyubenova, V. (2021). Metaheuristic Algorithms: Theory and Applications. In: Atanassov, K.T. (eds) Research in Computer Science in the Bulgarian Academy of Sciences. Studies in Computational Intelligence, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-72284-5_18

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