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Bio-Inspired Computation for Optimizing Scheduling

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Nature Inspired Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 652))

Abstract

Profitability is an important factor for sustainability of an organization. Profitability is important but cash flow is also important for the basic obligations like taxes, payroll, etc. In this paper, we have worked on the optimization of resource-constrained scheduling with discounted cash flow (payment scheduling or RCPSPDCF). We have conceptualized bio-inspired computing algorithm namely Genetic Algorithm. Microsoft dependency injection is also being used. It can be further used for problems like resource optimization (Madan and Madan in GASolver-A solution to resource constrained project scheduling, 2013) [1], Time versus Cost optimization (Madan and Madan in Optimizing time cost trade off scheduling) [2].

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References

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Author information

Authors and Affiliations

  1. VIPS, New Delhi, India

    Mamta Madan

Authors
  1. Mamta Madan
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Corresponding author

Correspondence to Mamta Madan .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

  2. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    M. N. Hoda

  3. Department of Computer Science and IT, University of Jammu, Jammu, Jammu and Kashmir, India

    Vinod Sharma

  4. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    Shivendra Goel

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Madan, M. (2018). Bio-Inspired Computation for Optimizing Scheduling. In: Panigrahi, B., Hoda, M., Sharma, V., Goel, S. (eds) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-10-6747-1_8

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  • DOI: https://doi.org/10.1007/978-981-10-6747-1_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6746-4

  • Online ISBN: 978-981-10-6747-1

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