A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
A novel algorithm for global optimization: rat swarm optimizer
This paper presents a novel bio-inspired optimization algorithm called Rat Swarm Optimizer
(RSO) for solving the challenging optimization problems. The main inspiration of this …
(RSO) for solving the challenging optimization problems. The main inspiration of this …
QANA: Quantum-based avian navigation optimizer algorithm
Differential evolution is an effective and practical approach that is widely applied for solving
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
Nature‐Inspired‐Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
N Yuvaraj, K Srihari, G Dhiman… - Mathematical …, 2021 - Wiley Online Library
In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …
individual or a group against a victim via electronic media. The consequence of CB is …
MOSMA: Multi-objective slime mould algorithm based on elitist non-dominated sorting
This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
Don: deep learning and optimization-based framework for detection of novel coronavirus disease using x-ray images
G Dhiman, V Vinoth Kumar, A Kaur… - Interdisciplinary Sciences …, 2021 - Springer
In the hospital, a limited number of COVID-19 test kits are available due to the spike in cases
every day. For this reason, a rapid alternative diagnostic option should be introduced as an …
every day. For this reason, a rapid alternative diagnostic option should be introduced as an …
Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods
Abstract Since the coronavirus (COVID-19) outbreak keeps on spreading all through the
world, scientists have been crafting varied technologies mainly focusing on AI for an …
world, scientists have been crafting varied technologies mainly focusing on AI for an …
Improved seagull optimization algorithm using Lévy flight and mutation operator for feature selection
AA Ewees, RR Mostafa, RM Ghoniem… - Neural Computing and …, 2022 - Springer
Seagull optimization algorithm (SOA) is a recent bio-inspired technique utilized to improve
the constrained large-scale problems in low computational cost and quick convergence …
the constrained large-scale problems in low computational cost and quick convergence …
Ubiquitous vehicular ad-hoc network computing using deep neural network with iot-based bat agents for traffic management
In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …
Multi-objective sparrow search algorithm: A novel algorithm for solving complex multi-objective optimisation problems
B Li, H Wang - Expert Systems with Applications, 2022 - Elsevier
This study proposes a multi-objective sparrow search algorithm (MOSSA) based on a 2k
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …