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Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
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 …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures
Engineering design problems are often multi-objective in nature, which means trade-offs are
required between conflicting objectives. In this study, we examine the multi-objective …
required between conflicting objectives. In this study, we examine the multi-objective …
An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems
This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
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) …
(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
Designing resilient supply chain networks for vaccine development and distribution requires
reliable and robust infrastructure. This stud develops a novel two-stage decision support …
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
This study introduces the evolutionary multi-objective version of seagull optimization
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …
algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm …
A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms
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 …
reverse logistics as an important process in their supply chain. This stem from the fact that …
Multi-objective chaos game optimization
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 …
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
This paper addresses the problem of managing battery energy in urban and rural alternating
current networks, aiming at improving their financial, technical, and environmental …
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
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) …
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …