| Article ID: | iaor2009691 |
| Country: | United Kingdom |
| Volume: | 23 |
| Issue: | 1 |
| Start Page Number: | 129 |
| End Page Number: | 140 |
| Publication Date: | Feb 2008 |
| Journal: | Optimization Methods & Software |
| Authors: | Pardalos Panos M., Prokopyev Oleg A., Shylo Oleg V., Shylo Vladimir P. |
| Keywords: | heuristics: genetic algorithms |
We describe a heuristic method for solving the unconstrained binary quadratic optimization problem based on a global equilibrium search framework. We investigate performance of the proposed approach and compare it with the best available solver on well-known benchmarks instances. The reported computational results indicate a high efficiency of the heuristic.