Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
0209 industrial biotechnology
02 engineering and technology
DOI:
10.1016/j.eswa.2007.02.002
Publication Date:
2007-02-27T20:51:07Z
AUTHORS (2)
ABSTRACT
Recent computational developments in ant colony systems have proved fruitful for transforming discrete domains of application into continuous ones. In this paper, new combinations of an ant colony inspired algorithm (ACA) and chaotic sequences (ACH) are employed in well-studied continuous optimization problems of engineering design. Two case studies are described and evaluated in this work. Our results indicate that ACA and ACH handle such problems efficiently in terms of precision and convergence and, in most cases, they outperform the results presented in the literature.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (67)
CITATIONS (192)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....