A Fuzzy Genetic Programming-Based Algorithm for Eco-Friendly and Economic Load Dispatch Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Derghal:2018:SSD,

• author = "Abdellah Derghal and Noureddine Golea",
• booktitle = "2018 15th International Multi-Conference on Systems, Signals Devices (SSD)",
• title = "A Fuzzy Genetic Programming-Based Algorithm for Eco-Friendly and Economic Load Dispatch Problem",
• year = "2018",
• pages = "738--743",
• abstract = "In this paper, we attempt to apply genetic algorithms to the fuzzy mathematical programming problems which involve imprecise (fuzzy) and nonlinear information. The principle objective in this paper is how to attribute a fuzzy set in the building of the Environmental economic power dispatch problem. The Eco-friendly /Economic Load Dispatch problem is formulated as a multiple objective problem subject to physical constraints, Fuzzy mathematical programming is used to represent objective functions with fuzzy parameters and uncertainties in constraints set, and genetic algorithm (GA) is used to solve the reformulated problem. The performance of this solution method is examined by comparing its results with that of the existing methods through an illustrative example, these comparisons reveal the efficient and robustness of the planned approach developed in this paper.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SSD.2018.8570619",
• ISSN = "2474-0446",
• month = mar,
• notes = "Also known as \cite{8570619}",

}

Genetic Programming entries for Abdellah Derghal Noureddine Golea

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