| A Gradient Projection Algorithm Using the Fisher Function for Solving the Nonlinear Inequality Constrained Optimization Problem |
| Received:April 21, 2005 Revised:December 10, 2006 |
| Key Words:
nonlinear inequality constriants gradient projection the Fisher function global convergence.
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| Fund Project:Shanghai High Education Foundation for Development of Science and Technology (67ZZ83), the Natural Science Foundation of Guangxi Province (0542043) and the Youth Foundation of Guangxi Normal University. |
| Author Name | Affiliation | | ZHAO Yan | College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China
College of Mathematics and Information Science, Guangxi University, Guangxi 530004, China | | CHEN Cui-ling | College of Mathematics Science, Guangxi Normal University, Guangxi 541004, China
College of Mathematics and Information Science, Guangxi University, Guangxi 530004, China | | WEI Zeng-xin | College of Mathematics and Information Science, Guangxi University, Guangxi 530004, China |
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| Abstract: |
| A new two-stage search direction is proposed that combines the gradient projection and the Fisher function. Based on the new direction, this paper proposes a gradient projection algorithm for solving nonlinear inequality constrained optimization problem. The algorithm is shown to be globally convergent. |
| Citation: |
| DOI:10.3770/j.issn:1000-341X.2007.04.012 |
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