Co-evolving memetic algorithms: A review and progress report

Smith, J. (2007) Co-evolving memetic algorithms: A review and progress report. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 37 (1). pp. 6-17. ISSN 1083-4419

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Publisher's URL: http://dx.doi.org/10.1109/TSMCB.2006.883273

Abstract

This paper reports on research resulting from theoretical studies. Based on this a framework for defining a general class of meta-heuristic algorithms is proposed and methods for instantiating them defined. Briefly reviewing results presented elsewhere [proceedings of PPSN2002, proceedings of IEEE CEC 2003 (two papers)] the paper then develops more general adaptive algorithms within the framework. The results show significant benefits compared to a range of conventional and hybrid approaches, both in terms of performance, and of explanatory power, and these are related to certain identifiable characteristics of the classes of problems examined.

Item Type:Article
Additional Information:© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords:adaptive systems, memetic algorithms, adaptive, evolutionary, co-evolutionary
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Artificial Intelligence Group
ID Code:5904
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:23 Nov 2012 14:40

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