The Performance Validation of Linear Programming Algorithm Based on Integrated Benchmark

Abstract:

Article Preview

Benchmark is a method of measuring performance, and we can obtain continuous performance improvement of programming algorithm through Benchmark validation. In order to solve large-scale linear programming problems, this paper proposes an integrated Benchmark validation which integrates theoretical Benchmark analysis with advance language-based Benchmark. Through the integrated Benchmark validation, we can continuously improve an optimizing algorithm, and validate whether the new optimizing algorithm achieves the performance objectives. The results of experiments show the proposed integrated Benchmark validation is an effective method for developing large-scale linear programming algorithms.

Info:

Periodical:

Edited by:

Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding

Pages:

1794-1799

DOI:

10.4028/www.scientific.net/AMM.34-35.1794

Citation:

S. H. Chen and G. F. Yan, "The Performance Validation of Linear Programming Algorithm Based on Integrated Benchmark", Applied Mechanics and Materials, Vols. 34-35, pp. 1794-1799, 2010

Online since:

October 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.