Local optima networks, landscape autocorrelation and heuristic search performance

Citation

Chicano F, Daolio F, Ochoa G, Verel S, Tomassini M & Alba E (2012) Local optima networks, landscape autocorrelation and heuristic search performance. In: Coello CC, Cutello V, Deb K K, Forrest S, Nicosia G & Pavone M (eds.) Parallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science, 7492. PPSN 2012 - 12th International Conference on Parallel Problem Solving from Nature, Taormina, Italy, 01.09.2012-05.09.2012. Berlin Heidelberg: Springer, pp. 337-347. http://link.springer.com/chapter/10.1007/978-3-642-32964-7_34#; https://doi.org/10.1007/978-3-642-32964-7_34

Abstract
Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a first step at combining these two tools to explore their ability to forecast the performance of search algorithms. We base our analysis on the Quadratic Assignment Problem (QAP) and conduct a large statistical study over 600 generated instances of different types. Our results reveal interesting links between the network measures, the autocorrelation measures and the performance of heuristic search algorithms.

People

Professor Gabriela Ochoa

Professor, Computing Science