Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks

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.

• Type: Conference
• Year: 2009
• Where: CEC
• Authors: Ian Scriven, Andrew Lewis, Sanaz Mostaghim
• Keywords: Artificial Intelligence, Available Nodes, CEC 2009, Particle Swarm Optimisation, Population-based Optimisation Algorithm