Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Abdullah, Jaza M."'
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO). The algorithm is called a Multi objective Fitness Dependent Optimizer (MOFDO) and is equipped with all five types of knowledge (situational,
Externí odkaz:
http://arxiv.org/abs/2302.05519
Autor:
Abdulkhaleq, Maryam T., Rashid, Tarik A., Alsadoon, Abeer, Hassan, Bryar A., Mohammadi, Mokhtar, Abdullah, Jaza M., Chhabra, Amit, Ali, Sazan L., Othman, Rawshan N., Hasan, Hadil A., Azad, Sara, Mahmood, Naz A., Abdalrahman, Sivan S., Rasul, Hezha O., Bacanin, Nebojsa, Vimal, S.
Publikováno v:
Artificial Intelligence in Medicine, 2022
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory and convergence behavior and its simple and flexible structure. This c
Externí odkaz:
http://arxiv.org/abs/2207.13075
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Autor:
Aladdin, Aso M., Abdullah, Jaza M., Salih, Kazhan Othman Mohammed, Rashid, Tarik A., Sagban, Rafid, Alsaddon, Abeer, Bacanin, Nebojsa, Chhabra, Amit, Vimal, S., Banerjee, Indradip
This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked by the bee swarm and the collaborative decision-making of FDO. As oppo
Externí odkaz:
http://arxiv.org/abs/2207.04846
Autor:
Abdullah, Jaza M., Rashid, Tarik A.
Publikováno v:
IEEE Access, 2019
In this paper, a novel swarm intelligent algorithm is proposed, known as the fitness dependent optimizer (FDO). The bee swarming reproductive process and their collective decision-making have inspired this algorithm; it has no algorithmic connection
Externí odkaz:
http://arxiv.org/abs/1904.05226
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Autor:
Aladdin, Aso M., Indradip Banerjee, Abdullah, Jaza M., Kazhan Othman Mohammed Salih, Rashid, Tarik A., Rafid Sagban, Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra, Vimal, S.
Publikováno v:
Web of Science
This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked by the bee swarm and the collaborative decision-making of FDO. As oppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5c28b884a1ad286fec1f3fb9503a0b8
https://publons.com/wos-op/publon/56156474/
https://publons.com/wos-op/publon/56156474/