Methodology for “Surrogate-Assisted" Multi-Objective Optimisation (MOO) for Computationally Expensive Process Flowsheet Analysis
In recent years, Multi-Objective Optimisation (MOO) has increasingly been applied in chemical engineering problems where multiple, often conflicting, objectives need to be optimized simultaneously. Genetic Evolutionary Algorithms (EAs) are often used in order to solve MOO problems, especially when t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2015-09-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/4466 |