Detail of benchmark functions comparison.

<div><p>This particular study presents two novel parent-centric real-coded crossover operators, named mixture-based Gumbel crossover (MGGX) and mixture-based Rayleigh crossover (MRRX), to increase the efficiency of genetic algorithms (GAs) in tackling complex optimization problems. Conve...

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Bibliographic Details
Main Author:	Jalal- ud-Din (21474307) (author)
Other Authors:	Ehtasham-ul- Haq (21474310) (author), Mohammed M. A. Almazah (20454979) (author), Mhassen E. E. Dalam (21474313) (author), Ishfaq Ahmad (4245517) (author)
Published:	2025
Subjects:	Biophysics Molecular Biology Biotechnology Evolutionary Biology Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified extremely restricted situations different complexity levels criteria topsis method coded crossover operators based rayleigh crossover based gumbel crossover proposed crossover operator constrained benchmark functions topsis </ p mixture distribution models coded genetic algorithms genetic algorithms testing constrained proposed parent xlink "> quade test pi ), performance index named mixture mrrx ), ideal balance empirical results comparative analysis 36 cases
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Detail of benchmark functions comparison.

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