Export Citations
Remark on Algorithm 769:Fortran subroutines for approximate solution of sparse quadratic assignment problems using GRASP
This alert has been successfully added and will be sent to:
You will be notified whenever a record that you have chosen has been cited.
To manage your alert preferences, click on the button below.
Manage my AlertsPleaselog in to your account
Abstract
References
Index Terms
- Remark on Algorithm 769: Fortran subroutines for approximate solution of sparse quadratic assignment problems using GRASP
Recommendations
Algorithm 769: Fortran subroutines for approximate solution of sparse quadratic assignment problems using GRASP
We describe Fortran subroutines for finding approximate solutions of sparse instances of the Quadratic Assignment Problem (QAP) using a Greedy Randomized Adaptive Search Procedure (GRASP). The design and implementation of the code are described in ...
Remark on Algorithm 815: FORTRAN subroutines for computing approximate solutions of feedback set problems using GRASP
We show that the Fortran source code for Algorithm 815 contains an error and we propose a correction. The error may cause the algorithm to generate incorrect results. We also show that the performance of the corrected algorithm can be improved by a ...
Successive Lagrangian relaxation algorithm for nonconvex quadratic optimization
Optimization problems whose objective function and constraints are quadratic polynomials are called quadratically constrained quadratic programs (QCQPs). QCQPs are NP-hard in general and are important in optimization theory and practice. There have been ...
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Permissions
Check for updates
Qualifiers
- Article
Contributors

Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 323Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in