Case 2 (50 × 40).

<p>Results of model parameters and the respective objective function (misfit) for the best solutions obtained in each optimization algorithm.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Rutinaldo Aguiar Nascimento (14259594) (author)
مؤلفون آخرون:	Álvaro Barroca Neto (14259597) (author), Yuri Shalom de Freitas Bezerra (14259600) (author), Hugo Alexandre Dantas do Nascimento (14259603) (author), Liacir dos Santos Lucena (14259606) (author), Joaquim Elias de Freitas (14259609) (author)
منشور في:	2022
الموضوعات:	Biophysics Medicine Evolutionary Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified parameter search space optimal solution ). cycle skipping ). average execution time 12 benchmark functions traditionally uses local field seismic data nonlinear optimization problem anms performed well high computational cost slow convergence rate fwi 1d problem kmeans clustering algorithms computational cost success rate scalar field local minima clustering technique computational efficiency dfo algorithms anms algorithms xlink "> validation experiments thus presenting strategy aims significant reduction precise solutions phase 2 phase 1 metrics used mead simplex hybrid algorithm fwi application every instant dividing swarms consequently improving best represents automatically balance anms algorithm allowing one accuracy limited 2 clusters &# 177
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