3D topology optimization using an immune algorithm

Felipe Campelo*, Kota Watanabe, Hajime Igarashi

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    Purpose - The paper introduces an evolutionary algorithm based on the artificial immune systems paradigm for topology optimization (TO) in 3D. Design/methodology/approach - The 3D TO algorithm is described, and experimentally validated on an electromagnetic design problem. Findings - The proposed method is capable of finding an optimal configuration for the validation problem used. Research limitations/implications - More tests are needed in order to fully assert the capabilities of the algorithm. Moreover, further improvements are needed in order to obtain smoother topologies at the end of the optimization procedure. Practical implications - The paper presents a novel tool for the design of electromagnetic devices, using a TO approach. Originality/value - So far most of the TO algorithms did not tackle true 3D problems, and the ones capable of 3D optimization do it at high computational costs. The algorithm presented here is capable of true 3D design at a reasonable computational budget.

    Original languageEnglish
    Pages (from-to)677-688
    Number of pages12
    JournalCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
    Issue number3
    Publication statusPublished - 2 Aug 2007


    • Electromagnetism
    • Optimization techniques
    • Topology


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