Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
482588 | European Journal of Operational Research | 2006 | 12 Pages |
Abstract
This paper is to introduce a soft approach for solving continuous optimizations models where seeking an optimal solution is theoretically or practically impossible.We first review methods for solving continuous optimization models, and argue that only a few optimization models with some good structure are solved. To solve a larger class of optimization problems, we suggest a soft approach by softening the goal in solving a model, and propose a two-stage process for implementing the soft approach. Furthermore, we offer an algorithm for solving optimization models with a convex feasible set, and verify the validity of the soft approach with numerical experiments.
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Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Chunhui Xu, Peggy Ng,