Search
Search Results
-
An Archimedes metaheuristic algorithm based optimum relay coordination in microgrid and combined overhead/cable distribution network
The issue of power system protection remains a crucial aspect for power engineers. One of the important protection devices in distribution networks...
-
Modified Archimedes optimization algorithm for global optimization problems: a comparative study
Archimedes Optimization Algorithm (AOA) is a recent optimization algorithm inspired by Archimedes’ Principle. In this study, a Modified Archimedes...
-
Underdetermined blind source separation method based on quantum Archimedes optimization algorithm
The performance of the existing underdetermined blind source separation methods is very sensitive to the initial parameters, meanwhile, the existing...
-
A novel chaotic archimedes optimization algorithm and its application for efficient selection of regression test cases
Nature is an ocean of knowledge, which inspires living beings to solve their complex problems. Researchers also utilized this knowledge to solve...
-
Hybrid Archimedes optimization algorithm enhanced with mutualism scheme for global optimization problems
Archimedes optimization algorithm (AOA) is a recent metaheuristic method inspired by the Archimedes principle, which is the law of physics. Like...
-
HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
The evolution of social media and online platforms created more opportunities to express one’s thoughts without any burden. This emergence paved the...
-
A quantum-inspired Archimedes optimization algorithm for hybrid-load autonomous guided vehicle scheduling problem
Facing the two major challenges of just-in-time (JIT) and energy-saving in part-feeding system for mixed-model assembly lines in automotive industry,...
-
Identification of lung cancer using archimedes flow regime optimization enabled deep belief network
The cancer in lungs is termed as a severe disease that can lead to huge deaths globally. The timely identification can be useful to increase rate of...
-
AO-HRCNN: archimedes optimization and hybrid region-based convolutional neural network for detection and classification of diabetic retinopathy
Diabetic Retinopathy (DR) primarily affects a set of lesions in the eyes, causing retinal degeneration and loss of vision. The DR features serve as a...
-
Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation
Fuzzy C-means (FCM) is one of the prominent and effective cluster-based image segmentation techniques exceedingly susceptible to noise and initial...
-
Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers
The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred...
-
Multi-objective Archimedes Optimization Algorithm with Fusion-based Deep Learning model for brain tumor diagnosis and classification
Earlier identification of brain tumors (BT) is essential to increase the survival rate. Magnetic Resonance Imaging (MRI) is a commonly employed...
-
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
The difficulty and complexity of the real-world numerical optimization problems has grown manifold, which demands efficient optimization methods. To...
-
APO-AN feature selection based Glorot Init Optimal TransCNN landslide detection from multi source satellite imagery
The work presents a comprehensive approach for landslide detection in satellite imagery by combining multiple techniques. The proposed methodology...
-
What overarching ethical principle should a superintelligent AI follow?
What is the best overarching ethical principle to give a possible future superintelligent machine, given that we do not know what the best ethics are...
-
An efficient computational offloading framework using HAA optimization-based deep reinforcement learning in edge-based cloud computing architecture
Mobile Cloud Computing (MCC) has emerged as a popular model for bringing the benefits of cloud computing to the proximity of mobile devices. MCC's...
-
Duck swarm algorithm: theory, numerical optimization, and applications
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study, which is inspired by the searching...
-
Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry....
-
Competitive search algorithm: a new method for stochastic optimization
A novel approach of swarm intelligence(SI) optimization, namely Competitive Search Algorithm(CSA), is proposed in this paper based on some social...
-
Cognitive Compromises in Scientific Theorizing as an Aspect of Cognitivism in Information Science (Cognitive Compromises Theory)
Abstract—The proposed concept of cognitive compromises, which was developed by the author, is among the basic constructs on which the new scientific...