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

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....

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Veröffentlicht in:2018 15th International Multi-Conference on Systems, Signals & Devices (SSD) S. 738 - 743
Hauptverfasser: Derghal, Abdellah, Golea, Noureddine
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2018
Schlagworte:
Economics
Environmental Economic Dispatch (EED)
Fuels
Fuzzy Membership Function
Genetic Algorithm
Genetic algorithms
Linear programming
Load flow
Mathematical model
Mathematical programming
Max-Min
Multi-objective Optimization
Weighted Approach
ISSN:2474-0446
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Beschreibung
Zusammenfassung: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.
ISSN:2474-0446
DOI:10.1109/SSD.2018.8570619