Applications of Cultural Ant Colony Optimization in Optimal Excavator Mechanisms Design

Pei Qing Xie; Shu Wen Lin

doi:10.4028/www.scientific.net/AMR.479-481.1857

Paper Titles

An Efficient Parameter Optimization Approach Based on Real-Coded Genetic Algorithm
p.1835

Optimization of the Vertex Angle of Metal Saw Tooth Based on Static Analysis
p.1841

Design and Optimization on Connecting Rod Parts of Engineering Clamp Hanger Based on Metamodel
p.1845

A New Method of the Constraints Expression and Handling for Excavator Boom Structural Optimization
p.1851

Applications of Cultural Ant Colony Optimization in Optimal Excavator Mechanisms Design
p.1857

Finite Element Analysis and Multidisciplinary Design Optimization of Diesel Engine Connecting Rod Based on ISIGHT
p.1863

Conceptual Design for the Structure of Electric Car Body
p.1868

Concept and Framework of Reconfigurable Intelligent Optimization Algorithm
p.1875

Parameter Optimization of Cyclone Separating Cleaning System Used on Combine Harvester of Wheat
p.1880

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Applications of Cultural Ant Colony Optimization...

Applications of Cultural Ant Colony Optimization in Optimal Excavator Mechanisms Design

Abstract:

In allusion to the low efficiency and unsatisfactory result of the tradional optimization algorithms in existence for engineering design optimization,this paper proposes a cultural ant colony optimization(CACO) algorithm for application in design optimization of excavator’s mechanisms to improve the excavator’s performance efficiently. Through testing and verifying experiments,it is concluded that CACO can discovery knowledge during optimization process and use the knowledge to guide the heuristic searching process,furthermore,it is an appropriate algorithm for the optimization of excavator mechanisms. CACO costs less time and can get better quality solution to improve excavator’s main porformances.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1857-1862

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1857

Citation:

Cite this paper

Online since:

February 2012

Authors:

Pei Qing Xie, Shu Wen Lin

Keywords:

Cultural Ant Colony Optimization, Design, Excavator, Knowledge, Mechanism

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Tongji University,"single bucket hydraulic excavator", China Architecture & Building Press,1980(In Chinese)

Google Scholar

[2] Levent Pek, "Optimization of Backhoe-Loader Mechanisms", M.S. thesis,Middle East Technical Uninversity, Turkey ,(2006)

Google Scholar

[3] Dongkon Lee, Expert Systems With Applications, Vol.11, No.1, pp.79-87, (1996)

Google Scholar

[4] R.G. Reynolds,in Proceedings of the 3rd Annual Conference on Evolutionary Programming,pp.131-139,World Scientific Publishing,San Diego,Calif,USA,1994.

Google Scholar

[5] Christopher Best, "Multi-objective Cultural Algorithms",M.S. thesis,Wayne State University, Detroit,(2009)

Google Scholar

[6] Krzysztof Socha ,Marco Dorigo, European Journal of Operational Research Vol.185(2008),pp.1155-117.

Google Scholar