The efficiency of the global optimization algorithm largely depends on fine-tuned control parameters. However, the control parameters proposed by the developers for their own problems or reported ones in previous studies are commonly used for many types of optimization problems. It must be noted that...
(1) The ventilator dataset was explored, analyzed, and added new features. (2) The ChoA algorithm optimized the parameters of the LSTM, and the ChoA -LSTM forecasting model was subsequently constructed. (3) ChoA algorithm's efficiency was compared with other metaheuristic optimization algorithms...
How does the Artificial Bee Colony algorithm improve energy efficiency in Wireless Sensor Networks? How does the Artificial Bee Colony algorithm compare to other optimization algorithms? Chapters and Articles You might find these chapters and articles relevant to this topic. Review article Bio inspired ...
The efficiency of the GOA in solving optimization problems has been evaluated on fifty-two standard objective functions. The quality of the results obtained from GOA has been compared with ten well-known metaheuristic algorithms. The ability of the GOA to address real-world applications is tested ...
In order to improve the time efficiency of searching placements, a multi-phase graph algorithm with limited accessible range is proposed in Qi et al. (2019). Tastevin et al. (2017) propose a multi-phase graph method based on the betweenness centrality to optimize the placing and routing ...
Teng C-H, Chen J-Y, Chen Z-H (2018) Impact of augmented reality on programming language learning: efficiency and perception. J Educ Comput Res 56:254–271.https://doi.org/10.1177/0735633117706109 The Joint Task Force on Computing Curricula (2013) Computing science curricula 2013: curriculum ...
Their research reduced the error rate of traditional approximation algorithms, but did not eliminate it, and it was achieved at a great cost to efficiency. The studies above show that the improvement of precision is of utmost importance, especially with respect to the problem of error point ...
With more devices and emerging data-intensive services, mobile data traffic grows explosively, which makes the energy efficiency issue in current and future wireless networks be a growing concern. Recently, the advantages of bringing caching scheme in wi
3 Automated grading of diabetic retinopathy has potential benefits such as increasing efficiency, reproducibility, and coverage of screening programs; reducing barriers to access; and improving patient outcomes by providing early detection and treatment. To maximize the clinical utility of automated grading...
In mAHA, local escape operator (LEO) and opposition-based learning (OBL) are integrated into the basic Artificial Hummingbird Algorithm (AHA). An improved version of AHA, mAHA, seeks to improve search efficiency and overcome limitations. With the CEC'2020 test suite, the mAHA has been ...