Micro-Biogeography Multiobjective Optimization

What is it about?

In the paper the micro Biogeography-Inspired Multiobjective Optimisation (micro-BiMO) method, an extension of the Biogeography-Inspired Multiobjective 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 (whence the name micro-BiMO), 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 micro-BiMO algorithm. In order to test its performances in industrial applications, an optimal shape design problem in electromagnetics, i.e. an electromagnet optimal design, has been chosen as case study.

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Why is it important?

To the best knowledge of the author, the main element of novelty of the paper is that the BiMO algorithm has been applied for the first time to a multi-objective design with a reduced number of islands (-BiMO). The algorithm so modified leads to a strong reduction of computational time, and, at the same time, improves the quality of results.