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A Novel Adaptive Cooperative Artificial Bee Colony Algorithm for Solving Numerical Function Optimization

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 643))

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Abstract

Considering the disadvantages of the traditional Artificial Bee Colony (ABC) Algorithm, a Novel Adaptive Cooperative Artificial Bee Colony (ACABC) Algorithm is proposed in this paper. Some ideas including dividing bee swarm into two parts: main-bee swarm and vice-bee swarm, bringing a judge principle for local optimum points and narrowing bee swarm search interval adaptively are introduced and consequently served as the core of novel Adaptive Cooperative Artificial Bee Colony Algorithm. The performance of PSO, DE, ABC and ACABC algorithms are compared using 10 kinds benchmark testing functions. Simulation results show ACABC owns better optimizing precision and speed and preferable anti-jamming ability, which can be applied for solving other complicated optimization problems.

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Acknowledgements

The authors would like to acknowledge the constructive comments and suggestions of editors and referees.

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Authors and Affiliations

  1. Air and Missile Defense College of AFEU, Xi’an, China

    Bin Liu, Wei-min Li & Shuai Pan

Authors
  1. Bin Liu
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  2. Wei-min Li
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  3. Shuai Pan
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Corresponding author

Correspondence to Bin Liu .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Lin Zhang

  2. Beihang University, Beijing, China

    Xiao Song

  3. Beihang University, Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Liu, B., Li, Wm., Pan, S. (2016). A Novel Adaptive Cooperative Artificial Bee Colony Algorithm for Solving Numerical Function Optimization. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_3

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  • DOI: https://doi.org/10.1007/978-981-10-2663-8_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2662-1

  • Online ISBN: 978-981-10-2663-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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