Results of the success rate (sr) and average execution time (rt) of each optimization algorithm.</p
Percentage success rate sr(%) for each algorithm referring to swarm sizes with 8, 12, 20, 28 and 36 ...
Optimization results analysis when follow-up maintenance cost and downtime is large.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Results of the success rate (sr) and the average execution time (rt) for each optimization algorithm...
(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times a...
(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times a...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
Performance statistics of the tested algorithms at different activity levels.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Results of base case cost-effectiveness analysis of test strategies for diagnosis of MD.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
The comparison of the average running time of the examined methods for 150 experiments executed for ...
<p>The average and scores produced by 50 consecutive runs of different algorithms for the SRBCT da...
Percentage success rate sr(%) for each algorithm referring to swarm sizes with 8, 12, 20, 28 and 36 ...
Optimization results analysis when follow-up maintenance cost and downtime is large.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Results of the success rate (sr) and the average execution time (rt) for each optimization algorithm...
(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times a...
(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times a...
Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the use...
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
Performance statistics of the tested algorithms at different activity levels.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Results of base case cost-effectiveness analysis of test strategies for diagnosis of MD.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
The comparison of the average running time of the examined methods for 150 experiments executed for ...
<p>The average and scores produced by 50 consecutive runs of different algorithms for the SRBCT da...
Percentage success rate sr(%) for each algorithm referring to swarm sizes with 8, 12, 20, 28 and 36 ...
Optimization results analysis when follow-up maintenance cost and downtime is large.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
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