Design and Development of Soft Computing Toolbox Using Metaheuristics

6 Pages Posted: 12 Jun 2019

See all articles by Avneet Kaur

Avneet Kaur

Thapar Institute of Engineering & Technology

Kamalinder Kaur Kaleka

Thapar Institute of Engineering & Technology

Vijay Kumar

Thapar Institute of Engineering & Technology

Date Written: March 14, 2019

Abstract

In recent years, various soft computing optimization techniques have been developed metaheuristic optimization methods are one of them. This paper presents a MATLAB based optimization toolbox for experimentation and study of metaheuristic techniques for solving optimization problems. The toolbox provides a graphical user interface to perform the experimentation, which shows convergence curve, box plot, and corresponding optimal solutions along with standard deviation and mean. The toolbox helps to find efficient algorithm for given optimization problem.

Keywords: Spotted Hyena Optimizer, Soft Computing, Optimization problem, Metaheuristics

Suggested Citation

Kaur, Avneet and Kaleka, Kamalinder Kaur and Kumar, Vijay, Design and Development of Soft Computing Toolbox Using Metaheuristics (March 14, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3352344 or http://dx.doi.org/10.2139/ssrn.3352344

Avneet Kaur (Contact Author)

Thapar Institute of Engineering & Technology ( email )

Patiala, Punjab
India

Kamalinder Kaur Kaleka

Thapar Institute of Engineering & Technology ( email )

Patiala, Punjab
India

Vijay Kumar

Thapar Institute of Engineering & Technology ( email )

Patiala, Punjab
India

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