The University of Bradford Institutional Repository This work is made available online in accordance with publisher policies. Please refer to the repository record for this item and our Policy Document available from the repository home page for further information. To see the final version of this work please visit the publisher’s website. Where available, access to the published online version may require a subscription. Author(s): Dahal, K.P., Burt, G.M., McDonald, J.R. and Galloway, S.J. Conference Paper: GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems Conference: Congress on Evolutionary Computation (CEC). La Jolla, CA, USA. 16- 19 July 2000. Publication year: 2000 Publication title: Proceedings of the Congress on Evolutionary Computation ISBN: 0-7803-6375-2 Publisher: IEEE Original online publication is available at: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=870347&isnumber=18852 Copyright statement: © 2000 IEEE. Reprinted from the Proceedings of the Congress on Evolutionary Computation – CEC 2000. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bradford's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.