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GECCO
2007
Springer

Multi-objective particle swarm optimization on computer grids

9 years 5 months ago
Multi-objective particle swarm optimization on computer grids
Abstract. In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of parallelizing multi-objective particle swarms. We propose and empirically compare two parallel versions which differ in the way they divide the swarm into subswarms that can be processed independently on different processors. One of the variants works asynchronously and is thus particularly suitable for heterogeneous computer clusters as occurring e.g. in modern grid computing platforms.
Sanaz Mostaghim, Jürgen Branke, Hartmut Schme
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck
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