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A differential evolution based memetic algorithm for workload optimization in power generation plants

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86092976" target="_blank" >RIV/61989100:27240/11:86092976 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/HIS.2011.6122117" target="_blank" >http://dx.doi.org/10.1109/HIS.2011.6122117</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HIS.2011.6122117" target="_blank" >10.1109/HIS.2011.6122117</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A differential evolution based memetic algorithm for workload optimization in power generation plants

  • Original language description

    Work load optimization in power generation plants is of practical importance in carbon constrained power industry. The main objective of the coal-fired power generation workload optimization is to minimize fuel consumption while maintaining the desired output and to maintain NO x emission within the environmental license limit. In this article, we represent an efficient Memetic Algorithm (MA) with a constraint handling method for the power generation loading optimization. This MA is developed by combining a competitive variant of Deferential Evolution (DE) and Simplex method. The proposed approach incorporates the constraint handling method to modify the selection rule which guides the search process in better direction. The simulation results based ona coal-fired power plant clearly indicate that our proposed method is very effective and it shows great computational efficiency in power generation workload optimization. 2011 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

  • ISBN

    978-1-4577-2150-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    271-276

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Malacca

  • Event date

    Dec 5, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article