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Multiobjective Integrated Stochastic and Deterministic Search Method for Economic Emission Dispatch Problem

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Namarta Chopra

    (I.K.G. Punjab Technical University)

  • Yadwinder Singh Brar

    (I.K.G. Punjab Technical University)

  • Jaspreet Singh Dhillon

    (Sant Longowal Institute of Engineering and Technology)

Abstract

The effectiveness of the newly developed multiobjective nature-inspired evolutionary algorithm is proposed and discussed in this paper. It includes the integration of stochastic type particle swarm optimization and deterministic type simplex search method. As PSO based algorithms are quite successful in various engineering applications, therefore it is used here as base search to find the global optimum solution which is further refined by local search using simplex search method. The validity of the proposed method is tested by considering certain benchmark mark functions and the results are compared with conventional PSO method. The practical applicability of the method is checked by applying it on the engineering problem of economic emission dispatch in thermal power plants and the results obtained are compared with other traditional optimization methods. The results confirm the potential and superiority of the proposed combination of two different type of methods.

Suggested Citation

  • Namarta Chopra & Yadwinder Singh Brar & Jaspreet Singh Dhillon, 2020. "Multiobjective Integrated Stochastic and Deterministic Search Method for Economic Emission Dispatch Problem," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 555-565, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_54
    DOI: 10.1007/978-3-030-41862-5_54
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