Skip navigation
Please use this identifier to cite or link to this item:
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
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Benchmark function
Engineering Problem
Quadratic Approximation
Constrained optimization
Genetic algorithms
Bacterial foraging optimizations (BFO)
Benchmark functions
Computational results
Engineering design optimization
Engineering problems
Hybridized algorithms
Quadratic approximation
ISBN: 9.78E+12
Author Scopus IDs: 35976419400
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]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.