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Computer Communication, Networking and Internet Security pp 437–441Cite as

Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 5))

Abstract

A comprehensive comparison of two powerful evolutionary computational algorithms: Genetic Algorithm and Particle Swarm Optimization have been presented in this paper. Both the algorithms have the global exploration capability; is being applied to the difficult optimization problems. The operators of each algorithm greatly contribute to the success have been reviewed, focusing on how they affect the searching in the problem space. The rationale of conducting this study is: to bring additional insights into how these algorithms work, and suggest remedies, if incorporated, improves the performance.

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References

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Amity University, Sector-125, Noida, Uttar Pradesh, India

    Hari Mohan Pandey

Authors
  1. Hari Mohan Pandey
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Correspondence to Hari Mohan Pandey .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg. Anil Neerukonda Inst. of Tech. & Sci., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. CMR Technical Campus, Prof. & Head, Dept. of Comp. Sci. & Engg CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR & Dr.HS MIC College of Technology, Professor DVR & Dr.HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2017 Springer Nature Singapore Pte Ltd.

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Pandey, H.M. (2017). Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Computer Communication, Networking and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_44

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  • DOI: https://doi.org/10.1007/978-981-10-3226-4_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3225-7

  • Online ISBN: 978-981-10-3226-4

  • eBook Packages: EngineeringEngineering (R0)

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