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HYBRID EVOLUTIONARY-BARNACLES MATING OPTIMISATION-ARTIFICIAL NEURAL NETWORK BASED TECHNIQUE FOR SOLVING ECONOMIC POWER DISPATCH PLANNING AND OPERATION /

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Bibliographic Details
Main Author:	Nor Laili Ismail (Author)
Corporate Author:	Universiti Teknologi MARA, Academic Rules and Regulations for Post Graduate
Format:	Thesis Book
Language:	English
Published:	Kuala Lumpur : Kolej Pengajian Kejuruteraan, UITM, 2024
Series:	Tesis Thesis
Subjects:	xx
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Table of Contents:

Introduction
Literature review
Hybrid evolutionary-barnacles mating optimisation (HEBMO) for economic power dispatch in power system
Multi-objective hybrid evolutionary programming-barnacles mating optimisation (MOHEBMO) technique for minimizing generation cost and pollution emission in power system
Integrated of HEBMO-ANN in economic dispatch planning
Conclusion and recommendation