Free search and differential evolution towards dimensions number change

    Research output: Chapter in Book/Report/Published conference proceedingChapterpeer-review

    64 Downloads (Pure)

    Abstract

    This paper presents an exploration of Free Search (FS) and modified Differential Evolution (DE) with enhanced adaptivity. The aim of the study is to identify how these methods can cope with changes of the number of variables of a hard design test, unaided. The results suggest that both methods can adapt successfully to the variation of the number of variables and constraint conditions. The results are presented. Contributions to the engineering design are replacement in high extent of human based search with machine based and movement of optimisation process from human guided to machine self guided search.
    Original languageEnglish
    Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
    EditorsCihan Dagli
    Place of PublicationNew York, USA
    PublisherAmerican Society of Mechanical Engineers(ASME)
    Chapter6
    Pages37-42
    Number of pages6
    Volume16
    ISBN (Print) 0-7918-0256-6
    DOIs
    Publication statusPublished - 1 Nov 2006

    Cite this