A hybrid Cat Swarm Optimization with invasive weed optimization

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dc.contributor.authorOjha A.K.en_US
dc.contributor.authorNaidu Y.R.en_US
dc.date.accessioned2025-02-17T05:20:55Z
dc.date.issued2015
dc.description.abstractCat Swarm Optimization (CSO) is a recent meta-heuristic optimization algorithm to obtain a global optimal solution. Sometimes the standard CSO converges to an optimal solution slowly and may not obtain the accurate solution. To avoid these drawbacks, Invasive weed optimization (IWO) is added to the CSO in tracing mode. � 2015 IEEE.en_US
dc.identifier.citation1en_US
dc.identifier.urihttp://dx.doi.org/10.1109/EESCO.2015.7253995
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/717
dc.language.isoenen_US
dc.subjectCat Swarm Optimizationen_US
dc.subjectInvasive Weed Optimizationen_US
dc.titleA hybrid Cat Swarm Optimization with invasive weed optimizationen_US
dc.typeConference Paperen_US

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