Genetic Programming and Emergence

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

Monthly rainfall Forecasting using genetic programming and support vector machine

Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...

ارزیابی پارامترهای دینامیکی خاک با استفاده از روش genetic expression programming

سه مدل ارائه شده در این مطالعه یعنی مدل هاردین- درنویش (هایپر بولیک)، مدل هایپربولیک اصلاح شده و مدل رمبرگ- اسگود همه در اصل مدل هایپر بولیک می باشند که به نوعی مورد اصلاح قرار گرفته اند. این مدل های غیر خطی سیکلی همه تابعی از کرنش برشی هستند که برای بیان یکی از مهم ترین خصوصیت های دینامیکی خاک یعنی مدول برشی نرمال شده به کار می روند. با توجه به اهمیت این مدل ها مطالعات بسیار کمی در این زمینه ص...

Genetic Algorithms and Genetic Programming

A Comparison of Cartesian Genetic Programming and Linear Genetic Programming

Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for constructing a directed acyclic graph (DAG) from a classical LGP instruction sequence has been established. Given graphbased LGP and traditional CGP, this paper investigates the similarities and differences between the two im...