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Artificial Bee Colony Optimization—Population-Based Meta-Heuristic Swarm Intelligence Technique

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Data Management, Analytics and Innovation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 839))

Abstract

Swarm Agents are known for their cooperative and collective behavior and operate in decentralized manner which is regarded as Swarm Intelligence. Various techniques like Ant Optimization, Wasp, Bacterial Foraging, PSO, etc., are proposed and implemented in various real-time applications to provide solutions to various real-time problems especially in optimization. The aim of this paper to present ABC algorithm in a comprehensive manner. The ABC-based SI technique proposed has demonstrated that it has superior edge in solving all types of unconstrained optimization problems. Many researchers have fine-tuned the basic algorithm and proposed different ABC based algorithms. The result show that still lots of work is required mathematically and live implementation in order to enable ABC algorithm to be applied to constrained problems for effective solutions.

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Author information

Authors and Affiliations

  1. Graduate School, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

  2. eLearning Center and R&D, Center for Visualization & Simulation, Duy Tan University, Da Nang, Vietnam

    Vikram Puri

  3. Department of Information Technology, School of Computing Sciences, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Chennai 600117, Tamil Nadu, India

    G. Suseendran

Authors
  1. Anand Nayyar
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  2. Vikram Puri
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  3. G. Suseendran
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Corresponding author

Correspondence to Vikram Puri .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Adyogik Tantra Shikshan Sanstha’s IICMR, Pune, Maharashtra, India

    Neha Sharma

  3. Faculty of Engineering and Technology, A.K. Choudhury School of Information Technology, Kolkata, India

    Amlan Chakrabarti

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Nayyar, A., Puri, V., Suseendran, G. (2019). Artificial Bee Colony Optimization—Population-Based Meta-Heuristic Swarm Intelligence Technique. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-1274-8_38

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  • DOI: https://doi.org/10.1007/978-981-13-1274-8_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1273-1

  • Online ISBN: 978-981-13-1274-8

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