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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2019

02.05.2017 | Original Article

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

verfasst von: Muhammad Asif Zahoor Raja, Usman Ahmed, Aneela Zameer, Adiqa Kausar Kiani, Naveed Ishtiaq Chaudhary

Erschienen in: Neural Computing and Applications | Sonderheft 1/2019

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Abstract

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.
Vorheriger Artikel Adaptive density distribution inspired affinity propagation clustering
Nächster Artikel New approaches in metaheuristics to solve the fixed charge transportation problem in a fuzzy environment

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Metadaten
Titel
Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem
verfasst von
Muhammad Asif Zahoor Raja
Usman Ahmed
Aneela Zameer
Adiqa Kausar Kiani
Naveed Ishtiaq Chaudhary
Publikationsdatum
02.05.2017
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe Sonderheft 1/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3019-3

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