3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions.

<p>It contains a large number of local optima. The optimization in such a function (landscape) requires a balance between exploration to avoid local optima and exploitation to converge accurately near the global optimum. It is important to use adaptive methods to balance exploration and exploi...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mahmood A. Jumaah (22272371) (author)
مؤلفون آخرون:	Yossra H. Ali (22272374) (author), Tarik A. Rashid (6519329) (author)
منشور في:	2025
الموضوعات:	Neuroscience Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified removing four parameters experimental results showed dynamically scaled step art optimization algorithms solving many real parametric statistical tests effectively balancing exploration achieved 880 wins overall performance metrics fox optimization algorithm exploitation often limit ifox ), incorporating ten real rank tests ifox achieved cec ), balance exploration wilcoxon signed size parameter significant potential primary equations paper introduces original fox local minima involved functions improved variation getting trapped fitness value findings highlight exploitation based evolutionary computation average rank 348 losses 228 ties
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3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions.

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