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Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9873))

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Abstract

This paper presents solution of multi objective economic and emission dispatch (MOEED) problem using stochastic fractal search algorithm (SFSA). Fractals are self repeating natural patterns like DNA, leaves of a tree etc. SFSA is a novel optimization algorithm which utilizes the concept of fractals for exploring and searching the problem domain for finding the optimal solution. Fractals are created around a random initial solution by employing a suitable stochastic technique. The generated particles then explore the search space in an efficient manner using diffusion property of random fractal. For overall fitness evaluation of the multiple Pareto optimal solutions TOPSIS (technique for order preference similar to an ideal solution) is employed. To validate the performance of the proposed method on practical constrained optimization problems analysis has been carried out on standard 10 and 13 generating unit systems. Results of stochastic fractal search algorithm with weighted sum method (SFSA_WS) are compared with SFSA with TOPSIS (SFSA_TOP) method. The results obtained by both cases are also compared with those available in recent literature, which confirms the potential of SFSA_TOP for solution of MOEED problems.

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Authors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Hari Mohan Dubey, Manjaree Pandit & Tushar Tyagi

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

    B. K. Panigrahi

Authors
  1. Hari Mohan Dubey
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  2. Manjaree Pandit
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  3. B. K. Panigrahi
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  4. Tushar Tyagi
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Corresponding author

Correspondence to Hari Mohan Dubey .

Editor information

Editors and Affiliations

  1. IIT, New Dehli, India

    Bijaya Ketan Panigrahi

  2. Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  4. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

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Dubey, H.M., Pandit, M., Panigrahi, B.K., Tyagi, T. (2016). Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS. In: Panigrahi, B., Suganthan, P., Das, S., Satapathy, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2015. Lecture Notes in Computer Science(), vol 9873. Springer, Cham. https://doi.org/10.1007/978-3-319-48959-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-48959-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48958-2

  • Online ISBN: 978-3-319-48959-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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