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Fitness-Based Controlled Movements in Artificial Bee Colony Algorithm

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

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Abstract

Artificial Bee Colony (ABC) is an efficient metaheuristic algorithm is used for solving various complex optimization problems. A new variant of ABC, namely, fitness-based controlled movements in ABC (ConABC) is presented here. In ConABC, an Intelligent Term (IT) is introduced in the employed bee stage, which enhances the solution search ability of the ABC algorithm. The IT is actually controlling the step size of an individual according to its fitness. The presented algorithm is extensively inferred to 12 benchmark functions. It is then compared with ABC, its two recent variants, titled Best-So-Far ABC (BSFABC), Modified ABC (MABC) and some more state-of-the-art algorithms. The observational outcomes unfold that ConABC has potential to solve the problems in a better way than ABC algorithm.

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Author information

Authors and Affiliations

  1. Rajasthan Technical University (R.T.U.), Kota, India

    Harish Sharma, Kritika Sharma & Nirmala Sharma

  2. IUST, Awantipora, India

    Assif Assad

  3. South Asian University, New Delhi, India

    Jagdish Chand Bansal

Authors
  1. Harish Sharma
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  2. Kritika Sharma
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  3. Nirmala Sharma
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  4. Assif Assad
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  5. Jagdish Chand Bansal
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Corresponding author

Correspondence to Harish Sharma .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Sharma, H., Sharma, K., Sharma, N., Assad, A., Bansal, J.C. (2020). Fitness-Based Controlled Movements in Artificial Bee Colony Algorithm. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_61

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