Cartesian Genetic Programming with Crossover for Solving Elliptic Partial Differential Equations
Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,613
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICS11_281
تاریخ نمایه سازی: 14 مهر 1392
Abstract:
In this paper, a novel technique based on Cartesian genetic programming (CGP) is proposed to suggest an analytical solution for elliptic Partial Differential Equations (EPDE). Formerly, there were some mathematical methods which suggested numerical solutions for these group of problems while giving an analytical solutions for them are of great importance in various domains. For better performance and faster convergence a crossover technique is combined with CGP which required the traditional CGP to change its form of representation from integer genotype to floating point genotype. In order to satisfy boundary conditions of PDEs, the evolved solutions by CGP are augmented by these boundary conditions, therefore the solutions are valid and reliable
Keywords:
Cartesian Genetic Programming (CGP) , Crossover , Partial differential equations (PDEs) , floating point representation , analytical solution
Authors
Mohammad Abdollahi
Department of Computer Engineering K. N. Toosi University of Technology
Mahdi Aliyari Shoorehdeli
Department of Mechatronics Engineering K. N. Toosi University of Technology
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :