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Software Project Scheduling Management by Particle Swarm Optimization

Author

Listed:
  • Dinesh B. Hanchate

    (Vidya Pratishthan's College Of Engg., Baramati, Pune-413133, Maharashtra, INDIA)

  • Rajankumar S. Bichkar

    (G.H. Raisoni College of Engineering & Management (GHRCEM), Wagholi, Pune-412207, Maharashtra, INDIA)

Abstract

PSO (Particle Swarm Optimization) is, like GA, a heuristic global optimization method based on swarm intelligence. In this paper, we present a particle swarm optimization algorithm to solve software project scheduling problem. PSO itself inherits very efficient local search method to find the near optimal and best-known solutions for all instances given as inputs required for SPSM (Software Project Scheduling Management). At last, this paper imparts PSO and research situation with SPSM. The effect of PSO parameter on project cost and time is studied and some better results in terms of minimum SCE (Software Cost Estimation) and time as compared to GA and ACO are obtained.

Suggested Citation

  • Dinesh B. Hanchate & Rajankumar S. Bichkar, 2014. "Software Project Scheduling Management by Particle Swarm Optimization," Oeconomics of Knowledge, Saphira Publishing House, vol. 6(4), pages 24-54, December.
    • Handle: RePEc:eok:journl:v:6:y:2014:i:4:p:24-54
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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