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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18981
Title: Engineering optimization using SOMGA
Authors: Deep, K.
Singh D.
Babu B.V.
Nagar A.
Bansal J.C.
Pant M.
Deep K.
Ray K.
Gupta U.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Many real-life problems arising in science, business, engineering, etc. can be modeled as nonlinear constrained optimization problems.To solve these problems, population-based stochastic search methods have been frequently used in literature. In this paper, a population-based constraint-handling technique C-SOMGA is used to solve six engineering optimization problems.To showthe efficiency of this algorithm, the results are compared with the previously quoted results. © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 323- 335
URI: https://doi.org/10.1007/978-81-322-1602-5_36
http://repository.iitr.ac.in/handle/123456789/18981
Issue Date: 2014
Publisher: Springer Verlag
Keywords: C-SOMGA
Optimization
SOMGA
Constrained optimization
Optimization
Soft computing
Stochastic systems
C-SOMGA
Constraint-handling techniques
Engineering optimization
Nonlinear constrained optimizations
Real-life problems
SOMGA
Stochastic search methods
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 8561208900
56585173600
Author Affiliations: Deep, K., Indian Institute of Technology, Roorkee, India
Singh, D., Gautam Buddha University, Greatar Noida, India
Corresponding Author: Deep, K.; Indian Institute of TechnologyIndia; email: kusumfma@iitr.ernet.in
Appears in Collections:Conference Publications [MA]

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