Free search and differential evolution towards dimensions number change

Kalin Penev

doi:10.1115/1.802566.paper6

Free search and differential evolution towards dimensions number change

Kalin Penev

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Research output: Chapter in Book/Report/Published conference proceeding › Chapter › peer-review

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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 language	English
Title of host publication	Intelligent Engineering Systems Through Artificial Neural Networks
Editors	Cihan Dagli
Place of Publication	New York, USA
Publisher	American Society of Mechanical Engineers(ASME)
Chapter	6
Pages	37-42
Number of pages	6
Volume	16
ISBN (Print)	0-7918-0256-6
DOIs	https://doi.org/10.1115/1.802566.paper6
Publication status	Published - 1 Nov 2006

Access to Document

10.1115/1.802566.paper6

Penev_ANNIE_2006_28_08_2006Accepted author manuscript, 174 KB

Cite this

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