Multi-Objective Problem Solving With Offspring on Enterprise Clouds

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dc.creatorVecchiola, Christian
dc.creatorKirley, Michael
dc.creatorBuyya, Rajkumar
dc.date2009-03-08
dc.date.accessioned2026-07-07T12:50:20Z
dc.date.available2026-07-07T12:50:20Z
dc.descriptionIn this paper, we present a distributed implementation of a network based multi-objective evolutionary algorithm, called EMO, by using Offspring. Network based evolutionary algorithms have proven to be effective for multi-objective problem solving. They feature a network of connections between individuals that drives the evolution of the algorithm. Unfortunately, they require large populations to be effective and a distributed implementation can leverage the computation time. Most of the existing frameworks are limited to providing solutions that are basic or specific to a given algorithm. Our Offspring framework is a plug-in based software environment that allows rapid deployment and execution of evolutionary algorithms on distributed computing environments such as Enterprise Clouds. Its features and benefits are presented by describing the distributed implementation of EMO.
dc.description8 pages
dc.identifierhttps://arxiv.org/abs/0903.1386
dc.identifierhttp://arxiv.org/abs/0903.1386
dc.identifierProceedings of the 10th International Conference on High-Performance Computing in Asia-Pacific Region (HPC Asia 2009), March 2~5, 2009, Kaohsiung, Taiwan
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/222655
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectC.2.4
dc.titleMulti-Objective Problem Solving With Offspring on Enterprise Clouds
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