A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems

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Abstract

Sine Cosine Algorithm (SCA), a newly proposed optimization approach, has gained the interest of researchers to solve the optimization problems in different fields due to its efficiency and simplicity. As well as a genetic algorithm (GA) has proved its robustness in solving a large variety of complex optimization problems. In this paper, a hybridization of SCA with steady state genetic algorithm (SSGA) is proposed to solve engineering design problems. This approach integrates the merits of exploration capability of SCA and exploitation capability of SSGA to avoid exposure to early convergence, speed up the search process and quick the convergence to best results in a reasonable time. The proposed approach incorporates concepts from SSGA and SCA and generates individuals in a new generation by crossover and mutation operations of SSGA and also by mechanisms of SCA. Efficiency of the proposed algorithm is evaluated using two complex engineering design problems to verify its validity and reliability. Results show that the proposed approach has superior performance compared to other optimizations techniques.

Original languageEnglish
Title of host publicationThe International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2019
EditorsAboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Mohamed F. Tolba, Tarek Gaber, Roheet Bhatnagar
PublisherSpringer Verlag
Pages143-155
Number of pages13
ISBN (Print)9783030141172
DOIs
StatePublished - 2020
Event4th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2019 - Cairo, Egypt
Duration: 28 Mar 201930 Mar 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume921
ISSN (Print)2194-5357

Conference

Conference4th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2019
Country/TerritoryEgypt
CityCairo
Period28/03/1930/03/19

Keywords

  • Engineering design problems
  • Optimization algorithms
  • Sine Cosine Algorithm
  • Steady state genetic algorithm

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