Can I read Evaluating Las Vegas Algorithms - Pitfalls and Remedies on EtoBox?

Evaluating Las Vegas Algorithms - Pitfalls and Remedies by Hoos, Holger H.; Stutzle, Thomas is a scholarly article available to read on EtoBox.

What is Evaluating Las Vegas Algorithms - Pitfalls and Remedies about?

Stochastic search algorithms are among the most sucessful approaches for solving hard combinatorial problems. A large class of stochastic search approaches can be cast into the framework of Las Vegas Algorithms (LVAs). As the run-time behavior of LVAs is characterized by random variables, the detailed knowledge of run-time distributions provides important information for the analysis of these algorithms. In this paper we propose a novel methodology for evaluating the performance of LVAs, based on the identification of empirical run-time distributions. We exemplify our approach by applying it to Stochastic Local Search (SLS) algorithms for the satisfiability problem (SAT) in propositional logic. We point out pitfalls arising from the use of improper empirical methods and discuss the benefits of the proposed methodology for evaluating and comparing LVAs.

Author

Hoos, Holger H.; Stutzle, Thomas

Published

2013

Language

EN