Average convergence rates of the compared algorithms for case study 1.

Average convergence rates of the compared algorithms for case study 1.

<p>Average convergence rates of the compared algorithms for case study 1.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Wafaa Alsaggaf (21465030) (author)
مؤلفون آخرون: Mona Gafar (21465033) (author), Shahenda Sarhan (21465036) (author), Abdullah M. Shaheen (21465039) (author), Ahmed S. Alwakeel (21465042) (author)
منشور في: 2025
الموضوعات:
Biotechnology
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
reconfigurable intelligent surfaces
quadratic interpolation method
proposed technique incorporates
minimum achievable rate
maximize achievable rates
lowest achievable rate
improves solution diversity
facilitates broader exploration
average achievable rate
across different scenarios
worst objective outcomes
second objective model
first objective model
94 %, 13
74 %, 35
55 %, 7
54 %, 1
29 %, 14
1 %, 15
02 %, 42
two objective models
optimize system performance
iroa achieves improvements
07 %, 46
objective models
97 %,
46 %,
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user case
search space
riss ).
results demonstrate
prioritize fairness
paper introduces
optimization framework
main goal
local optima
ideal quantity
findings demonstrate
established algorithms
enhances robustness
differential evolution
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