Systematic review of the time-cost optimization models in construction management

OM ElSahly, S Ahmed, A Abdelfatah - Sustainability, 2023 - mdpi.com
The construction sector is a crucial contributor to the national and global economy.
Therefore, improving the efficiency and effectiveness of construction projects can have a …

[PDF][PDF] Synergetic control-based sea lion optimization approach for position tracking control of ball and beam system

H Al-Khazraji, K Albadri, R Almajeez… - International Journal of …, 2024 - researchgate.net
The Ball and Beam (BnB) system is an electro-mechanical system can be used to evaluate a
wide range of control strategies. Therefore, BnB is a popular educational experiment in …

Energy-efficient bi-objective optimization based on the moth–flame algorithm for cluster head selection in a wireless sensor network

MZ Mistarihi, HA Bany Salameh, MA Alsaadi, OF Beyca… - Processes, 2023 - mdpi.com
Designing an efficient wireless sensor network (WSN) system is considered a challenging
problem due to the limited energy supply per sensor node. In this paper, the performance of …

Wireless sensor network optimization using genetic algorithm

AB Alnajjar, AM Kadim, RA Jaber… - Journal of Robotics …, 2022 - journal.umy.ac.id
Abstract Wireless Sensor Network (WSN) is a high potential technology used in many fields
(agriculture, earth, environmental monitoring, resources union, health, security, military, and …

A hybrid sperm swarm optimization and genetic algorithm for unimodal and multimodal optimization problems

B Raj, I Ahmedy, MYI Idris, RM Noor - IEEE Access, 2022 - ieeexplore.ieee.org
A good exploration ability can ensure that the method jumps out of local optimum in
multimodal problems and a good exploitation can ensure an algorithm converge faster to …

Hybrid metaheuristics using rough sets for qos-aware service composition

H Naghavipour, MYIB Idris, TK Soon, RB Salleh… - Ieee …, 2022 - ieeexplore.ieee.org
Quality of Service (QoS)-aware service composition plays an increasingly important role in
various computational paradigms and delivery models, predominantly cloud computing. The …

Automated detection and classification of meningioma tumor from MR images using sea lion optimization and deep learning models

A Sukumaran, A Abraham - Axioms, 2021 - mdpi.com
Meningiomas are the most prevalent benign intracranial life-threatening brain tumors, with a
life expectancy of a few months in the later stages, so this type of tumor in the brain image …

Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm

H Wang, NNB Mansor, HB Mokhlis… - IET Renewable Power …, 2023 - Wiley Online Library
One of the challenges of the production sector of the electricity industry at present is how to
meet the needs of electricity consumption in the country by using and localizing new power …

[PDF][PDF] Human-Robot Interaction (HRI) using Machine Learning (ML): a Survey and Taxonomy.

M Adawy, H Abualese, NK Taha El-Omari… - International Journal of …, 2024 - i-csrs.org
Human-robot interaction (HRI) which has become the fundamental need of the hour is born
out of the necessity for studying the relation between humans and robots. This cutting-edge …

[HTML][HTML] Novel hVsaGwo algorithm for non-linear dynamic weighted state feedback with 1DOF-PID based controllers in AVR

M Saka - Engineering Science and Technology, an International …, 2024 - Elsevier
Automatic voltage regulator (AVR) is one of the most important issues for electric power
systems because it keeps to constant the terminal voltage of synchronous generators (SGs) …