A comparative study on optimization techniques for solving multi-objective geometric programming problems

dc.contributor.authorOta R.R.en_US
dc.contributor.authorOjha A.K.en_US
dc.date.accessioned2025-02-17T05:24:47Z
dc.date.issued2015
dc.description.abstractVarious optimization techniques are there for mathematical model- ing and design of many non-linear problems related to the various field of science and engineering. The real world engineering problems are oc- curring in the form of multi-criteria having certain constraints. Till now, no such single optimization method exist which could optimize all objec- tive functions simultaneously. In this paper, weighted sum method has been discussed to solve multi-objective geometric programming prob- lem(MOGPP) and the result so obtained by weighted sum method has been compared with fuzzy programming method. Illustrative examples are presented to demonstrate the correctness of proposed model. � 2014 Rashmi Ranjan Ota and A. K. Ojha.en_US
dc.identifier.citation1en_US
dc.identifier.urihttp://dx.doi.org/10.12988/ams.2015.4121029
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/854
dc.language.isoenen_US
dc.subjectFuzzy programmingen_US
dc.subjectMulti-objective geometric programmingen_US
dc.subjectOptimizationen_US
dc.subjectWeighted sum methoden_US
dc.titleA comparative study on optimization techniques for solving multi-objective geometric programming problemsen_US
dc.typeArticleen_US

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