| PRODUCT NAME |
GA-PSO Leco Model For Parameter Optimization Chemical Process
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| ABSTRACT |
Parameter optimization is important to all technical system in order to achieve a certain degree of output precision or goal. The involvement of multi-resolution parameter makes the process of parameter optimization tedious. This work develops a layered encoding cascade optimization (LECO) model for optimizing multi-resolution parameters using genetic algorithm (GA) and particle swarm optimization (PSO) techniques. In short, the model is called GA-PSO LECO. The developed model is applied to a famous plant-wide industrial control problem, so called Tennessee Eastman (TE) chemical process which involves many large scale, continuous , and nonlinear process.
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| FILING COUNTRY |
Malaysia
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| REG. NUMBER |
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| INTELLECTUAL STATUS |
Novel
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| FILE DATE |
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| IP TYPE |
Patent
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| YEAR APPLY |
2011
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| DEPARTMENT |
PUSAT PENGAJIAN KEJURUTERAAN MIKROELEKTRONIK
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| STAF NO / MATRIC NO |
NEOH SIEW CHIN, 800718-07-5198, 0101204
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| OWNER NAME |
UniMAP
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| EQUITY PERCENTAGE |
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| NOTEL HP |
124297241
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