Average convergence rates of the compared algorithms for case study 2.

<p>Average convergence rates of the compared algorithms for case study 2.</p>

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Bibliographic Details
Main Author:	Wafaa Alsaggaf (21465030) (author)
Other Authors:	Mona Gafar (21465033) (author), Shahenda Sarhan (21465036) (author), Abdullah M. Shaheen (21465039) (author), Ahmed S. Alwakeel (21465042) (author)
Published:	2025
Subjects:	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 %, xlink "> 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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