Automated parameter tuning framework for heterogeneous and large instances: Case study in quadratic assignment problem

Abstract

This paper is concerned with automated tuning of parameters of algorithms to handle heterogeneous and large instances. We propose an automated parameter tuning framework with the capability to provide instance-specific parameter configurations. We report preliminary results on the Quadratic Assignment Problem (QAP) and show that our framework provides a significant improvement on solutions qualities with much smaller tuning computational time. © 2013 Springer-Verlag.