Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Constraint directed variable neighbourhood search

Andrew, A. and Levine, J. and Long, D. (2007) Constraint directed variable neighbourhood search. In: Proceedings of the 4th International Workshop on Local Search Techniques in Constraint Satisfaction held at CP 2007. UNSPECIFIED.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

Local search algorithms operate by making small changes to candidate solutions with the aim of reaching new and improved solutions. The problem is that often the search will become trapped at sub optimal states from where there are no improving neighbours. Much research has gone into creating schemes to avoid these local optima and various strategies exist mainly based around altering the acceptance function. Another approach is Variable Neighbourhood Search which aims to bypass optima by linearly switching through multiple search neighbourhoods. We propose a new method where the selection of neighbourhoods is dynamically decided dependant on the violations of the problem constraints, Constraint Directed Variable Neighbourhood Search. We compared Constraint Directed Variable Neighbourhood Search to Variable Neighbourhood Search and show that the same search progress can be achieved whilst exploring only a fraction of the states.