Neural Computing and Applications

, Volume 31, Supplement 1, pp 447–475 | Cite as

Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem

  • Muhammad Asif Zahoor Raja
  • Usman Ahmed
  • Aneela Zameer
  • Adiqa Kausar Kiani
  • Naveed Ishtiaq ChaudharyEmail author
Original Article


In the present study, bio-inspired computational heuristics are exploited for finding the solution of economic load dispatch (ELD) problem with valve point loading effect using variants of genetic algorithm (GA) hybrid with sequential quadratic programming (SQP) and interior-point algorithms (IPAs). Variants of GAs are constructed using different sets of routines for its fundamental operators in order to explore the entire search space for global optimum solutions while SQP and IPA are integrated with GAs for rapid local convergence. Nine variants of each design scheme based on GAs, GA-SQP and GA-IPAs are applied on three different ELD problems of thermal power plant systems. Comparative studies of the proposed schemes are performed through the results of statistical performance indices in order to establish the worth and effectiveness in terms of accuracy, convergence and complexity measures.


Economic load dispatch Hybrid computing Evolutionary computations Genetic algorithms Sequential quadratic programming Interior-point algorithms 


Compliance with ethical standards

All the authors of the manuscript declare that there is no

• Potential conflicts of interest.

• Research involving human participants and/or animal.

• Material that required informed consent.


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Copyright information

© The Natural Computing Applications Forum 2017

Authors and Affiliations

  • Muhammad Asif Zahoor Raja
    • 1
  • Usman Ahmed
    • 1
  • Aneela Zameer
    • 2
  • Adiqa Kausar Kiani
    • 3
  • Naveed Ishtiaq Chaudhary
    • 4
    Email author
  1. 1.Department of Electrical EngineeringCOMSATS Institute of Information TechnologyAttockPakistan
  2. 2.Department of Computer and Information SciencePakistan Institute of Engineering and Applied SciencesNilorePakistan
  3. 3.Department of EconomicsFederal Urdu University of Arts Science and TechnologyIslamabadPakistan
  4. 4.Department of Electrical EngineeringInternational Islamic UniversityIslamabadPakistan

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