Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques

The aim of the present study is to a new model based on nonlinear singular second order delay differential equation Lane–Emden type and numerically solved by using heuristic technique. Four different examples are presented designed artificial neural networks optimized global search, local search methods their hybrid combinations, respectively, named as genetic algorithm (GA), sequential quadratic programming (SQP) GA-SQP. numerical results compared for proposed technique with exact/explicit that demonstrate performance correctness. Moreover, statistical investigations/assessments accuracy implemented methodology.