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  Published Paper Details:

  Paper Title

APPLICATION OF THE DIFFERENTIAL EVOLUTION (DE) ALGORITHM TO SOLVE ENGINEERING OPTIMIZATION PROBLEMS

  Authors

  Charvee M. Gurav,  Bhargavi A. Ketkar,  Sahil P. Patil,  Prashant A. Giri

  Keywords

Evolutionary Algorithms, Differential Evolution, Optimization, Genetic Algorithms

  Abstract


Differential Evolution (DE) is a simple, rapid, and numerically robust evolutionary optimization approach. The DE algorithm is a population-based algorithm, similar to a genetic algorithm that employs comparable operators, such as crossover, mutation, and selection. The DE method is simple to apply to a wide range of real-valued situations. DE utilized in this work to tackle two engineering optimization problems in the literature. The approach presented in this article compared to other well-known conventional optimization method. According to the results obtained, the convergence speed of DE is much faster than that of the other approaches. As a result, the DE algorithm appears to be a potential method for solving engineering optimization issues.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTO020011

  Paper ID - 218309

  Page Number(s) - 55-59

  Pubished in - Volume 10 | Issue 4 | April 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Charvee M. Gurav,  Bhargavi A. Ketkar,  Sahil P. Patil,  Prashant A. Giri,   "APPLICATION OF THE DIFFERENTIAL EVOLUTION (DE) ALGORITHM TO SOLVE ENGINEERING OPTIMIZATION PROBLEMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.55-59, April 2022, Available at :http://www.ijcrt.org/papers/IJCRTO020011.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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