loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Distributed Parallel Algorithm For Nonlinear OptimizationWithout Derivatives
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Congying Han, Shanghai Jiaotong University, China
Guoping He, Shandong University of Science and Technology, China
Huanqing Cui, Shandong University of Science and Technology, China
Xuping Zhang, Shandong University of Science and Technology, China
This paper formulates a pattern search method for non-linear programming. A distributed parallel algorithm is given based on the pattern search method by distributing the direction to every processor. Promising experimental results of the distributed parallel pattern method are obtained on a sixteen-machines cluster system by running the environment MPI.
Index Terms:
Distributed parallel algorithm, Nonlinear programming, MPI, Pattern search
Citation:
Congying Han, Guoping He, Huanqing Cui, Xuping Zhang, "Distributed Parallel Algorithm For Nonlinear OptimizationWithout Derivatives," snpd, vol. 2, pp.512-515, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.