A comprehensive survey of the harmony search algorithm in clustering applications
The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which
has been successfully applied to a broad range of clustering applications, including data …
has been successfully applied to a broad range of clustering applications, including data …
Harmony search: Current studies and uses on healthcare systems
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been
verified that HS can find solutions to optimization problems due to its balanced exploratory …
verified that HS can find solutions to optimization problems due to its balanced exploratory …
Electric energy consumption prediction by deep learning with state explainable autoencoder
As energy demand grows globally, the energy management system (EMS) is becoming
increasingly important. Energy prediction is an essential component in the first step to create …
increasingly important. Energy prediction is an essential component in the first step to create …
Representing complex intuitionistic fuzzy set by quaternion numbers and applications to decision making
Intuitionistic fuzzy sets are useful for modeling uncertain data of realistic problems. In this
paper, we generalize and expand the utility of complex intuitionistic fuzzy sets using the …
paper, we generalize and expand the utility of complex intuitionistic fuzzy sets using the …
Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment
An unheard of growth in mobile data traffic has drawn attention from academia and industry.
Mobile cloud computing is an emerging computing paradigm combining cloud computing …
Mobile cloud computing is an emerging computing paradigm combining cloud computing …
[PDF][PDF] Island-based cuckoo search with highly disruptive polynomial mutation
BH Abed-alguni - International Journal of Artificial Intelligence, 2019 - researchgate.net
The island model is one of the most well-known structured population strategies used to
control the diversity in evolutionary algorithms. The population of an islandbased …
control the diversity in evolutionary algorithms. The population of an islandbased …
Circuit depth reduction for gate-model quantum computers
Quantum computers utilize the fundamentals of quantum mechanics to solve computational
problems more efficiently than traditional computers. Gate-model quantum computers are …
problems more efficiently than traditional computers. Gate-model quantum computers are …
Smart energy optimization using heuristic algorithm in smart grid with integration of solar energy sources
Smart grid (SG) vision has come to incorporate various communication technologies, which
facilitate residential users to adopt different scheduling schemes in order to manage energy …
facilitate residential users to adopt different scheduling schemes in order to manage energy …
A novel smart energy management as a service over a cloud computing platform for nanogrid appliances
There will be a dearth of electrical energy in the world in the future due to exponential
increase in electrical energy demand of rapidly growing world population. With the …
increase in electrical energy demand of rapidly growing world population. With the …
Optimizing echo state network through a novel fisher maximization based stochastic gradient descent
Hyperparameter optimization is a challenging process that has the potential to improve
machine learning algorithms. Since it creates a remarkable computational burden for …
machine learning algorithms. Since it creates a remarkable computational burden for …