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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18962
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dc.contributor.authorGarg V.-
dc.contributor.authorDeep, K.-
dc.contributor.editorDas K.N.-
dc.contributor.editorPant M.-
dc.contributor.editorDeep K.-
dc.contributor.editorBansal J.C.-
dc.contributor.editorLal A.K.-
dc.contributor.editorGarg H.-
dc.contributor.editorNagar A.K.-
dc.date.accessioned2020-12-03T06:29:36Z-
dc.date.available2020-12-03T06:29:36Z-
dc.date.issued2017-
dc.identifier.citationProceedings of Advances in Intelligent Systems and Computing, (2017), 206- 219-
dc.identifier.isbn9.79E+12-
dc.identifier.issn21945357-
dc.identifier.urihttps://doi.org/10.1007/978-981-10-3325-4_21-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/18962-
dc.description.abstractThere is number of engineering design problems which are modeled as non-linear optimization problems. These problems are considered as benchmark problems for testing newly design optimization techniques. The objective of this paper is to demonstrate the effectiveness of a newly proposed constrained Laplacian Biogeography Based Optimization algorithm on three engineering design problems. The results are compared with existing efforts reported in literature. It is shown that in a majority of the cases constrained Laplacian Biogeography Based Optimization algorithm provides superior results. © Springer Nature Singapore Pte Ltd. 2017.-
dc.language.isoen_US-
dc.publisherSpringer Verlag-
dc.relation.ispartofProceedings of Advances in Intelligent Systems and Computing-
dc.subjectConstrained laplacian biogeography based optimization (C-LX-BBO)-
dc.subjectPressure design problem-
dc.subjectTension string problem-
dc.subjectWelded beam design problem-
dc.subjectConstrained optimization-
dc.subjectDesign-
dc.subjectEcology-
dc.subjectHeuristic algorithms-
dc.subjectLaplace transforms-
dc.subjectNonlinear programming-
dc.subjectOptimization-
dc.subjectSoft computing-
dc.subjectStructural optimization-
dc.subjectBeam design-
dc.subjectBench-mark problems-
dc.subjectBiogeography-based optimization algorithms-
dc.subjectBiogeography-based optimizations-
dc.subjectDesign problems-
dc.subjectEngineering design problems-
dc.subjectNon-linear optimization problems-
dc.subjectTension strings-
dc.subjectProblem solving-
dc.titleEffectiveness of constrained Laplacian biogeography based optimization for solving structural engineering design problems-
dc.typeConference Paper-
dc.scopusid56594391300-
dc.scopusid8561208900-
dc.affiliationGarg, V., Department of Mathematics, Indian Institute of Technology, Roorkee, India-
dc.affiliationDeep, K., Department of Mathematics, Indian Institute of Technology, Roorkee, India-
dc.description.correspondingauthorGarg, V.; Department of Mathematics, Indian Institute of TechnologyIndia; email: vanitagarg16@gmail.com-
Appears in Collections:Conference Publications [MA]

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