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Content Provider | IET Digital Library |
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Author | Mognaschi, M. E. |
Abstract | In this Letter, the micro biogeography-inspired multi-objective optimisation (μBiMO) method, an extension of the biogeography-inspired multi-objective optimisation (BiMO) algorithm, is proposed. It is suitable for solving multi-objective optimisations in the field of industrial design because it is based on a small number of islands (hence the name μBiMO), i.e. few objective function calls are required. An analytical test function is used for evaluating the performances of the standard BiMO method and to show the need for the proposed μBiMO algorithm. To test its performances in industrial applications, an optimal shape design problem in electromagnetics, i.e. an electromagnet optimal design, has been chosen as a case study. To the best knowledge of the author, the main element of novelty of the Letter is that the BiMO algorithm has been applied for the first time to a multi-objective design with a reduced number of islands (μBiMO). The algorithm so modified leads to a strong reduction of computational time, and, at the same time, improves the quality of results. |
Starting Page | 1458 |
Ending Page | 1460 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 53 |
e-ISSN | 1350911X |
Issue Number | Issue 22, Oct (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/53/22 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.3072 |
Journal | Electronics Letters |
Publisher Date | 2017-09-27 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Approximation Approximation Theory Industrial Electromagnetic Design Interpolation And Function Approximation Micro-biogeography-inspired Multiobjective Optimisation Method Numerical Analysis Optimal Shape Design Problem Optimisation Optimisation Technique ΜBiMO Method |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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