HYBRID EVOLUTIONARY-BARNACLES MATING OPTIMISATION-ARTIFICIAL NEURAL NETWORK BASED TECHNIQUE FOR SOLVING ECONOMIC POWER DISPATCH PLANNING AND OPERATION /
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| Main Author: | |
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| Corporate Author: | |
| Format: | Thesis Book |
| Language: | English |
| Published: |
Kuala Lumpur :
Kolej Pengajian Kejuruteraan, UITM,
2024
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| Series: | Tesis
Thesis |
| Subjects: | |
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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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