Results 91 to 100 of about 66,599 (198)
Hybrid Metaheuristics and their Implementations
This paper studies with the design of hybrid metaheuristics and their implementations. Hybrid metaheuristics involve some major issues that could be classified as design and implementation. Combining different kinds of methods is a ordinary strategy to solve optimization problems. As we have developed a unified view of metaheuristics, that is based on
Caichang Ding, Wenxiu Peng, Weiming Wang
openaire +2 more sources
Optimized Scheduling of IoT Devices in Healthcare Facilities: Balancing Cost and Quality of Care
This paper addresses the critical challenge of optimal allocation and scheduling of Internet of Things (IoT) tracking devices for patient monitoring in healthcare facilities, where limited resources must be efficiently distributed to minimize cost and ...
Francesco Nucci +2 more
doaj +1 more source
Photovoltaic (PV) systems are increasingly recognized as a viable renewable energy source due to their clean, abundant, silent, and environmentally friendly nature.
Abdullrahman A. Al-Shamma’a +1 more
doaj +1 more source
An Adaptive Genetic Algorithm for Solving N-Queens Problem
In this paper a Metaheuristic approach for solving the N-Queens Problem is introduced to find the best possible solution in a reasonable amount of time. Genetic Algorithm is used with a novel fitness function as the Metaheuristic.
Nag, Sayan, Sarkar, Uddalok
core
Metaheuristic approaches to virtual machine placement in cloud computing: a review [PDF]
Alboaneen, Dabiah Ahmed +2 more
core +1 more source
Analysis of hybrid CNN models optimized with metaheuristic algorithms for melanoma detection. [PDF]
Hermosilla P +6 more
europepmc +1 more source
Aquila Optimization-Assisted Artificial Neural Network for Classification Problems. [PDF]
Kayhan G, Unal SH.
europepmc +1 more source
WS-SSA: workflow scheduling in cloud computing using salp swarm algorithm. [PDF]
Sharawy AA +3 more
europepmc +1 more source
Hybrid Deep Learning Framework for Sleep Quality Prediction: Integrating Metaheuristic Optimization and Statistical Features. [PDF]
Lasisi A +12 more
europepmc +1 more source

