Application of Asynchronous DE with Trigonometric Mutation in Engineering Design Problems
Vaishali1, Deepak Panwar2, D.P Sharma3, Ashwani Kumar Yadav4
1Vaishali, Amity University Rajasthan, Jaipur, Rajasthan India.
2Deepak Panwar, Amity University Rajasthan, Jaipur, Rajasthan, India.
3D.P Sharma, Professor, Manipal University Jaipur, Rajasthan, India.
4Ashwani Kumar Yadav, Amity University Rajasthan, Jaipur, Rajasthan, India.
Manuscript received on 05 April 2019 | Revised Manuscript received on 14 April 2019 | Manuscript Published on 24 May 2019 | PP: 273-276 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F10560486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Asynchronous Differential Evolution (ADE) algorithm, a variation of Differential Evolution (DE) algorithm works asynchronously. It supports parallel optimization and strong exploration because ADE algorithm updates the population instantly when a vector with better fitness is found. ADE working is quite similar to Differential Evolution (DE) except the instant population updation feature. In this paper trigonometric mutation embedded ADE (ADE-TMO), a hybridized algorithm is tested over four unconstrained engineering design problems.
Keywords: Differential Evolution, Asynchronous Differential Evolution, Trigonometric Mutation, Engineering Design Application.
Scope of the Article: Software Engineering & Its Applications