Multi objective Fitness Dependent Optimizer Algorithm

no code implementations • 26 Jan 2023 • Jaza M. Abdullah, Tarik A. Rashid, Bestan B. Maaroof, Seyedali Mirjalili

This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO).

Harmony Search: Current Studies and Uses on Healthcare Systems

no code implementations • 19 Jul 2022 • Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon, Bryar A. Hassan, Mokhtar Mohammadi, Jaza M. Abdullah, Amit Chhabra, Sazan L. Ali, Rawshan N. Othman, Hadil A. Hasan, Sara Azad, Naz A. Mahmood, Sivan S. Abdalrahman, Hezha O. Rasul, Nebojsa Bacanin, S. Vimal

The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.

Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation

no code implementations • 18 May 2022 • Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih, Tarik A. Rashid, Rafid Sagban, Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Indradip Banerjee

Ultimately, the target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.

Decision Making

Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

no code implementations • 10 Apr 2019 • Jaza M. Abdullah, Tarik A. Rashid

Furthermore, the results are statistically tested with the Wilcoxon rank-sum test to show the significance of the results.

Decision Making