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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18965
Title: Design of chemo-GA for engineering design optimization problem
Authors: Mishra R.
Das K.N.
Deep, K.
Published in: Proceedings of 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016
Abstract: This paper proposes a novel hybridized algorithm to solve Engineering Design optimization problem. The algorithm is named as Chemo-GA for constrained optimization (CGAC) which hybridizes Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO). The better performance of CGAC is realized over some recent techniques reported in the literature through a test bed of 7 benchmark functions. The algorithm is compared with LXPMC and HLXPMC. In, LXPM Laplace crossover (LX) and power mutation (PM) are used. The hybridization of LXPM with Quadratic Approximation (QA) operator is called HLXPMC. Further, 1 typical engineering problem is solved by CGAC and the numerical result is compared with recent state-of-the art algorithm. The outperformance of CGAC is realized from the computational results. © 2016 IEEE.
Citation: Proceedings of 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016, (2016), 141- 145
URI: https://doi.org/10.1109/CMI.2016.7413727
http://repository.iitr.ac.in/handle/123456789/18965
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Benchmark function
Engineering Problem
Hybridization
Quadratic Approximation
Algorithms
Benchmarking
Constrained optimization
Genetic algorithms
Bacterial foraging optimizations (BFO)
Benchmark functions
Computational results
Engineering design optimization
Engineering problems
Hybridization
Hybridized algorithms
Quadratic approximation
Optimization
ISBN: 9.78E+12
Author Scopus IDs: 35976419400
55220472200
8561208900
Author Affiliations: Mishra, R., Dept. of Mathematics, KIIT University, Bhubaneswar, India
Das, K.N., Dept. of Mathematics, NIT Silchar, Assam, India
Deep, K., Dept. of Mathematics, IIT Roorkee, India
Appears in Collections:Conference Publications [MA]

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