Open Access

ARTICLE

Differential Evolution Algorithm with Hierarchical Fair Competition Model

Amit Ramesh Khaparde^1,*, Fawaz Alassery², Arvind Kumar³, Youseef Alotaibi⁴, Osamah Ibrahim Khalaf⁵, Sofia Pillai⁶, Saleh Alghamdi⁷

1 Delhi Skill and Entrepreneurship University, Okhla Campus 1, New Delhi, 110020, India
2 Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
3 Department of Mechanical Engineering, Chandigarh Engineering College, Jhanjeri, Mohali, India
4 Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia
5 Al-Nahrain University, Al-Nahrain Nano-Renewable Energy Research Center, Baghdad, Iraq
6 School of Computer Science and Engineering, Galgotias University, Greater Noida
7 Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

* Corresponding Author: Amit Ramesh Khaparde. Email:

Intelligent Automation & Soft Computing 2022, 33(2), 1045-1062. https://doi.org/10.32604/iasc.2022.023270

Received 01 September 2021; Accepted 30 November 2021; Issue published 08 February 2022

Abstract

This paper presents the study of differential evolution algorithm with hierarchical fair competition model (HFC-DE). HFC model is based on the fair competition of societal system found in natural world. In this model, the population is split into hierarchy and the competition is allowed between the hierarchical members. During evolution, the population members are allowed to move within the hierarchy levels. The standard differential evolution algorithm is used for population evolution. Experimentation has carried out to define the parameter for proposed model on test suit having unimodal problems and multi-model problems. After analyzing the results, the two variants of HFC-DE are proposed, named hierarchical fair competition model in differential evolution algorithm with replacement, I,e, HFCDE-R and hierarchical fair competition model in differential evolution algorithm without replacement, I,e, HFCDE-wR. The problem-solving capabilities of both algorithms are checked and the results are compared with differential evolution algorithm (DE) and other variants of DE. The early results are encouraging and motivating.

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Citations