Self-organized Invasive Parallel Optimization with Self-repairing Mechanism
| dc.contributor.author | Mostaghim, Sanaz | |
| dc.contributor.author | Pfeiffer, Friederike | |
| dc.contributor.author | Schmeck, Hartmut | |
| dc.date.accessioned | 2017-12-06T09:06:16Z | |
| dc.date.available | 2017-12-06T09:06:16Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | The parallelization of optimization algorithms is very beneficial when the function evaluations of optimization problems are time consuming. However, parallelization gets very complicated when we deal with a large number of parallel resources. In this paper, we present a framework called Self-organized Invasive Parallel Optimization (SIPO) in which the resources are self-organized. The optimization starts with a small number of resources which decide the number of further required resources on-demand. This means that more resources are stepwise added or eventually released from the platform. In this paper, we study an undesired effect in such a self-organized system and propose a self-repairing mechanism called Recovering-SIPO. These frameworks are tested on a series of multi-objective optimization problems. | en |
| dc.identifier.doi | 10.1007/BF03341988 | |
| dc.identifier.pissn | 0177-0454 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/8557 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 28, No. 1 | |
| dc.relation.ispartofseries | PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware | |
| dc.subject | Shared Memory | |
| dc.subject | Multiobjective Optimization | |
| dc.subject | Selection Mechanism | |
| dc.subject | Parallel Optimization | |
| dc.subject | Parallel Platform | |
| dc.title | Self-organized Invasive Parallel Optimization with Self-repairing Mechanism | en |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 99 | |
| gi.citation.startPage | 90 |
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