Solving a novel designed second order nonlinear Lane-Emden delay differential model using the heuristic techniques
Ver/
Compartir
Estadísticas
Ver Estadísticas de usoMetadatos
Mostrar el registro completo del ítemÁrea de conocimiento
Matemática AplicadaPatrocinadores
This paper has been partially supported by Ministerio de Ciencia, Innovación y Universidades, Spain grant number PGC2018-0971-B-100 and Fundación Séneca de la Región de Murcia, Spain grant number 20783/PI/18.Fecha de publicación
2021Editorial
ElsevierCita bibliográfica
Sabir, Z., Guirao, J. L. G., & Saeed, T. (2021). Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques. Applied Soft Computing, 102, 107105. doi:10.1016/j.asoc.2021.107105Palabras clave
Delay differential equationsLane–Emden
Artificial neural networks
Nonlinear
Genetic algorithm
Statistical analysis
Sequential quadratic programming
Resumen
The aim of the present study is to present a new model based on the nonlinear singular second order delay differential equation of Lane–Emden type and numerically solved by using the heuristic technique. Four different examples are presented based on the designed model and numerically solved by using artificial neural networks optimized by the global search, local search methods and their hybrid combinations, respectively, named as genetic algorithm (GA), sequential quadratic programming (SQP) and GA-SQP. The numerical results of the designed model are compared for the proposed heuristic technique with the exact/explicit results that demonstrate the performance and correctness. Moreover, statistical investigations/assessments are presented for the accuracy and performance of the designed model implemented with heuristic methodology.
Colecciones
- Artículos [1752]
El ítem tiene asociados los siguientes ficheros de licencia:
Redes sociales