A MODIFIED FLEXIBLE TOLERANCE METHOD FOR NONLINEAR PROGRAMMING
- 1 December 1989
- journal article
- research article
- Published by Taylor & Francis in Engineering Optimization
- Vol. 15 (2) , 141-152
- https://doi.org/10.1080/03052158908941148
Abstract
A modified flexible tolerance method for nonlinear optimization is presented. The modification incorporates a random search technique with the flexible tolerance method, making the flexible tolerance method more efficient and effective. Test problems of nonlinear programming algorithms presented by previous investigators are included to illustrate the advantages of the modified methodKeywords
This publication has 1 reference indexed in Scilit:
- Test Examples for Nonlinear Programming CodesPublished by Springer Nature ,1981