Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms

S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …

An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems

N Khodadadi, L Abualigah, ESM El-Kenawy… - IEEE …, 2022 - ieeexplore.ieee.org
This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …

MOAVOA: a new multi-objective artificial vultures optimization algorithm

N Khodadadi, F Soleimanian Gharehchopogh… - Neural Computing and …, 2022 - Springer
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …

An integrated decision support framework for resilient vaccine supply chain network design

EB Tirkolaee, AE Torkayesh, M Tavana, A Goli… - … Applications of Artificial …, 2023 - Elsevier
Designing resilient supply chain networks for vaccine development and distribution requires
reliable and robust infrastructure. This stud develops a novel two-stage decision support …

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization

G Dhiman, KK Singh, A Slowik, V Chang… - International Journal of …, 2021 - Springer
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …

A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms

A Cheraghalipour, MM Paydar… - Applied Soft …, 2018 - Elsevier
Over the last two decades, many companies in developed countries have considered
reverse logistics as an important process in their supply chain. This stem from the fact that …

Multi-objective chaos game optimization

N Khodadadi, L Abualigah, Q Al-Tashi… - Neural Computing and …, 2023 - Springer
Abstract The Chaos Game Optimization (CGO) has only recently gained popularity, but its
effective searching capabilities have a lot of potential for addressing single-objective …

A battery energy management system to improve the financial, technical, and environmental indicators of Colombian urban and rural networks

LF Grisales-Noreña, B Cortés-Caicedo… - Journal of Energy …, 2023 - Elsevier
This paper addresses the problem of managing battery energy in urban and rural alternating
current networks, aiming at improving their financial, technical, and environmental …

Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem

H Bakır, HT Kahraman, S Yılmaz, S Duman… - Applied Soft …, 2024 - Elsevier
In this paper, the multi-objective AC-DC optimal power flow (MO/AC-DC OPF) problem in the
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …