CATEGORY:
ETHYLENE CRACKING
Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm
Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm
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Type
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Journal
Article
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Author
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Zhiqiang
Geng
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Author
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Zun
Wang
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URL
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Volume
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153
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Pages
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21-33
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Publication
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Chemical
Engineering Science
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Date
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October
22, 2016
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Abstract
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Describes
design of a strategy to efficiently solve the multi-objective operation
optimization problem of ethylene cracking furnace. Authors present an
adaptive multi-objective particle swarm optimization (AMOPSO) algorithm based
on dynamic analytic hierarchy process (AHP). The algorithm adopts fuzzy
consistent matrix to select the global best solution, which ensures the
correct direction of particle evolution.
They measure the evolution state to adjust the weight and learning coefficients adaptively. They apply the method to the operation optimization of ethylene cracking furnace. Two cases studies are offered, including the fixed cracking cycle with four objectives and the non-fixed cracking cycle with five objectives. |
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