Hybrid approach for redundancy optimization of multi-state power system

dc.contributor.authorBendjeghaba, Omar
dc.contributor.authorOhahdi, Dris
dc.contributor.authorZablah, Abdelkader
dc.date.accessioned2015-04-16T14:35:51Z
dc.date.available2015-04-16T14:35:51Z
dc.date.issued2007
dc.description.abstractThis paper presents an optimize method of the well known Redundancy Optimization Problem (ROP) using a combined ANT Colony System (ACS) and Universal Moment Generating Function (UMGF). The ACS searches for the minimum cost solution by selecting the appropriate components for a series-parallel system, given a minimum system reliability constraint. The UMGF is used to estimate the system reliability value during search. This approach is an example of a computationally efficient method to apply ACS optimization to problems for which repeated calculation of the objective function is impracticalen_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/390
dc.language.isoenen_US
dc.relation.ispartofseriesLeonardo journal of sciences/ Vol.1 N°10 (2007); pp. 115-130
dc.subjectAnt colony System (ACS)en_US
dc.subjectRedundancy Optimization Problem (ROP)en_US
dc.subjectMulti-State Power Systems (MSPS)en_US
dc.subjectUniversal Moment Generating Function (UMGF)en_US
dc.titleHybrid approach for redundancy optimization of multi-state power systemen_US
dc.typeArticleen_US

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