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...

A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems

Vasile, Massimiliano and Minisci, Edmondo and Locatelli, M (2009) A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems. In: 2009 IEEE Congress on evolutionary computation. IEEE Congress on Evolutionary Computation, 1-5 . IEEE, pp. 2340-2347. ISBN 9781424429585

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

Abstract

In this paper we propose a generalized formulation of the evolutionary heuristic governing the movement of the individuals of Differential Evolution in the search space. The basic heuristic of Differential Evolution is casted in form of discrete dynamical system and extended to improve local convergence. It is demonstrated that under some assumptions on the local structure of the objective function, the proposed dynamical system, has fixed points towards which it converges asymptotically. This property is used to derive an algorithm that performs better than standard Differential Evolution on some space trajectory optimization problems. The novel algorithm is then extended with a guided restart procedure that further increases the performance reducing the probability of stagnation in deceptive local minima.