Study on Parameter Optimization Design of Drum Brake Based on Hybrid Cellular Multiobjective Genetic Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-27
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
In consideration of the significant role the brake plays in ensuring the fast and safe running of vehicles, and since the present parameter optimization design models of brake are far from the practical application, this paper proposes a multiobjective optimization model of drum brake, aiming at maximizing the braking efficiency and minimizing the volume and temperature rise of drum brake.
As the commonly used optimization algorithms are of some deficiency, we present a differential evolution cellular multiobjective genetic algorithm (DECell) by introducing differential evolution strategy into the canonical cellular genetic algorithm for tackling this problem.
For DECell, the gained Pareto front could be as close as possible to the exact Pareto front, and also the diversity of nondominated individuals could be better maintained.
The experiments on the test functions reveal that DECell is of good performance in solving high-dimension nonlinear multiobjective problems.
And the results of optimizing the new brake model indicate that DECell obviously outperforms the compared popular algorithm NSGA-II concerning the number of obtained brake design parameter sets, the speed, and stability for finding them.
American Psychological Association (APA)
Zhang, Yi& Zhang, Hu& Lu, Chao. 2012. Study on Parameter Optimization Design of Drum Brake Based on Hybrid Cellular Multiobjective Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-1001875
Modern Language Association (MLA)
Zhang, Yi…[et al.]. Study on Parameter Optimization Design of Drum Brake Based on Hybrid Cellular Multiobjective Genetic Algorithm. Mathematical Problems in Engineering No. 2012 (2012), pp.1-23.
https://search.emarefa.net/detail/BIM-1001875
American Medical Association (AMA)
Zhang, Yi& Zhang, Hu& Lu, Chao. Study on Parameter Optimization Design of Drum Brake Based on Hybrid Cellular Multiobjective Genetic Algorithm. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-1001875
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001875