Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm
A large number of real-world issues are among difficult and multi-objective problems. Recently, it has been recognised that the evolutionary algorithms optimise well these types of problems. This paper proposes a novel multi-objective search algorithm that is called the Spacing Multi-Objective Genet...
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| Main Authors: | L. Falahiazar, H. Shah-Hosseini |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-07-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2018.1443319 |
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