Solving Nonlinear Constrained Optimization Problems Using Invasive Weed Optimization

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dc.contributor.authorNaidu Y.R.en_US
dc.contributor.authorOjha A.K.en_US
dc.date.accessioned2025-02-17T05:24:13Z
dc.date.issued2015
dc.description.abstractMany real-world problems are constrained optimization problems. In solving nonlinear constrained optimization problems, penalty function method has been the popular approach. The performance of invasive weed optimization (IWO) with multistage penalty function is discussed in this paper. The proposed IWO is performed for six well-known problems, and results are reported. The obtained results demonstrate that IWO outperformed than other evolutionary algorithms. � Springer India 2015.en_US
dc.identifier.citation1en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-81-322-2012-1_14
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/833
dc.language.isoenen_US
dc.subjectInvasive weed optimizationen_US
dc.subjectMultistage penalty functionen_US
dc.subjectNonlinear constrained optimization problemsen_US
dc.titleSolving Nonlinear Constrained Optimization Problems Using Invasive Weed Optimizationen_US
dc.typeConference Paperen_US

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