Dynamic Search Initialisation Strategies for Multi-Objective Optimisation in Peer-to-peer Networks

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Title Dynamic Search Initialisation Strategies for Multi-Objective Optimisation in Peer-to-peer Networks
Author Scriven, Ian; Lewis, Andrew; Mostaghim, Sanaz
Publication Title Conference Proceedings: IEEE Congress on Evolutionary Computation 2009
Editor Andy Tyrrell
Year Published 2009
Abstract Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic failure of a population-based optimisation algorithm, such as particle swarm optimisation, performance will be degraded unless the lost computational power is replaced. When resources are replaced, one must consider how to utilise newly available nodes as well as the loss of existing nodes. In order to take advantage of newly available nodes, new particles must be generated to populate them. This paper proposes two methods of generating new particles during algorithm execution and compares the performance of each approach, then investigates a hybridised approach incorporating both mechanisms.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/CEC.2009.4983122
Copyright Statement Copyright 2009 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper was first published in the Proceedings of IEEE Congress on Evolutionary Computation, 2009.
ISBN 978-1-4244-2959-2
Conference name (CEC 2009) IEEE Congress on Evolutionary Computation,
Location Trondheim, Norway
Date From 2009-05-18
Date To 2009-05-21
URI http://hdl.handle.net/10072/29236
Date Accessioned 2009-09-21
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Distributed Computing; Optimisation
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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