Abstract
In this paper the authors describe the first stages of developing a genetic algorithm for optimising hockey stick design. The final iteration of this algorithm optimises the mass distribution and total mass of the hockey stick, and ranks the performance of each design based on its modelled ability in hitting and perceived performance in dribbling. The fitness function used draws on player performance testing results, validated models and implied human perception data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Goldberg, D. (1988). Genetic Algorithms, Addison Wesley.
Grant, C. and Nixon, S. A. (1996). Parametric modelling of the dynamic performance of a cricket bat. The Engineering of Sport, Sheffield, Balkema, Rotterdam.
Holland, J. (1975). Adaptation in natural and artificial systems, The University of Michigan Press.
Kim, M. S., Han, D. C., Lee, W. I., and Kim, S. J. (2005). Optimization of gold club shaft characteristics using genetic algorithm. The Impact of Technology on Sport, Tokyo, Australasian Sports Technology Alliance Pty Ltd.
Lee, M. and C. Kim (2004). Design optimisation of graphite golf shafts based on weight and dynamics of swing. International Engineering of Sport 5, Davis, California.
McHutchon, M. A., D. Curtis, et al. (2004). Parametric design of field hockey sticks. IES 2004, Davis, California, ISEA.
Michalewicz, Z. (1992). Genetic Algorithms + Data Structures = Evolution Programs. Berlin Heidelberg, Springer-Verlag.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this paper
Cite this paper
McHutchon, M., Manson, G., Carré, M. (2006). A Fresh Approach to Sports Equipment Design: Evolving Hockey Sticks Using Genetic Algorithms. In: Moritz, E.F., Haake, S. (eds) The Engineering of Sport 6. Springer, New York, NY. https://doi.org/10.1007/978-0-387-45951-6_15
Download citation
DOI: https://doi.org/10.1007/978-0-387-45951-6_15
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-34680-9
Online ISBN: 978-0-387-45951-6
eBook Packages: EngineeringEngineering (R0)