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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100 0 |a Nor Laili Ismail,  |e author 
245 1 0 |a HYBRID EVOLUTIONARY-BARNACLES MATING OPTIMISATION-ARTIFICIAL NEURAL NETWORK BASED TECHNIQUE FOR SOLVING ECONOMIC POWER DISPATCH PLANNING AND OPERATION /  |c NOR LAILI BINTI ISMAIL 
264 1 |a Kuala Lumpur :  |b Kolej Pengajian Kejuruteraan, UITM,  |c 2024 
300 |a xxiii, 222 leaves :  |b illustrations ;  |c 30 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
490 1 |a Tesis 
490 1 |a Thesis 
502 |a xx 
504 |a Includes bibliographical references 
505 0 |a 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  
650 0 |a xx 
710 2 |a Universiti Teknologi MARA,   |b Academic Rules and Regulations for Post Graduate 
830 0 |a Tesis 
830 0 |a Thesis 
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