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General Information
    • ISSN: 1793-8198 (Print)
    • Abbreviated Title: Int. J. Mater. Mech. Manuf.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. Ian McAndrew
    • Co-editor-in-Chief: Prof. K. M. Gupta
    • Executive Editor: Cherry L. Chen
    • Abstracting/Indexing: Inspec (IET), Chemical Abstracts Services (CAS),  ProQuest, Crossref, Ulrich's Periodicals Directory,  EBSCO.
    • E-mail ijmmm@ejournal.net

Prof. Ian McAndrew
Capitol Technology University, USA
It is my honor to be the editor-in-chief of IJMMM. I will do my best to work with the editorial team and help make this journal better.

IJMMM 2015 Vol.3(4): 304-308 ISSN: 1793-8198
DOI: 10.7763/IJMMM.2015.V3.215

A Novel Approach for Solving Engineering Optimization Problems Involving Equality Constraints

Kedar Nath Das and Tapan Kumar Singh
Abstract—In general, the optimization problems arise in real life situations are constrained in nature. Handling such problems becomes more difficult when an optimization problem involves some equality constraints. The computation complexity increases exponentially if the constraints are non-linear and non-convex. In order to solve such problems, a large number of evolutionary approaches have been suggested in the literature. In such approaches, penalty function method and boundary simulation method are more popular to solve equality and inequality constraints problems. In this paper, an efficient and novel approach namely ‘Drosophila Food-Search Constrained Optimization Algorithm (DFCOA)’ has been proposed that helps for the robust generation of feasible regions during simulation. The proposed algorithm is initially tested on ten typical constrained benchmark problems with different tastes. Further two real life engineering problems have also been solved. The simulation results confirm that the proposed algorithm works better than some of the state-of-the-art algorithms.

Index Terms—Tournament selection, mQA, redundant search, GPCR.

The authors are with the Department of Mathematics, NIT Silchar, Assam, India (e-mail: kedar.iitr@gmail.com, tksingh1977.nits@gmail.com).


Cite: Kedar Nath Das and Tapan Kumar Singh, "A Novel Approach for Solving Engineering Optimization Problems Involving Equality Constraints," International Journal of Materials, Mechanics and Manufacturing vol. 3, no. 4, pp. 304-308, 2015.

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