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A Novel DE-PSO-DE (DPD) Algorithm for Economic Load Dispatch Problem

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  • Kedar Nath Das

    (Department of Mathematics, National Institute of Technology, Silchar, India)

  • Raghav Prasad Parouha

    (Department of Mathematics, National Institute of Technology, Silchar, India)

Abstract

This paper presents a hybrid algorithm of two popular heuristics namely Differential Evolution (DE) and Particle Swarm Optimization (PSO) on a tri-population environment. Initially, the whole population (in increasing order of fitness) is divided into three groups – Inferior Group, Mid Group and Superior Group. DE is employed in the inferior and superior groups, whereas PSO is used in the mid-group. It is based on the information sharing mechanism of their inherent property to overcome the shortcomings of each other. The proposed method is called DPD as it uses DE-PSO-DE on a population. Two strategies namely Elitism (to retain the best obtained values so far) and Non-redundant search (to improve the solution quality) have been employed in DPD cycle. Out of a total of 64 DPDs, Top 4 DPDs are investigated through CEC2006 constrained benchmark functions. Based on the ‘performance' analysis, best DPD is reported and further used in solving 5 engineering design problems along with economic load dispatch problem in order to confirm further the efficiency of the proposed DPD.

Suggested Citation

  • Kedar Nath Das & Raghav Prasad Parouha, 2014. "A Novel DE-PSO-DE (DPD) Algorithm for Economic Load Dispatch Problem," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 5(4), pages 59-88, October.
    • Handle: RePEc:igg:jaec00:v:5:y:2014:i:4:p:59-88
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