Journal Bearing Optimization Using Nonsorted Genetic Algorithm and Artificial Bee Colony Algorithm
In this work, a journal bearing optimization process has been developed and is divided into two stages. Each one has a set of decision variables and custom objectives aggregating performances with a weighting strategy. The performance functions used are an artificial neural network, trained with Rey...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-05-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1155/2014/213548 |