A Comparison of Genetic Programming with Genetic Algorithms for Wire Antenna Design

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...

Genetic Algorithms and Genetic Programming

Economic Design of T2 −V SSC Chart Using Genetic Algorithms

The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...

A Comparison of Genetic Programming and Genetic Algorithms for Auto-tuning Mobile Robot Motion Control

This paper discusses the use of genetic programming (GP) and genetic algorithms (GA) to evolve solutions to a problem in robot control. GP is seen as an intuitive evolutionary method while GAs require an extra layer of human intervention. The infrastructures for the different evolutionary approaches are compared.

EvolvaWare: Genetic Programming for Optimal Design of Hardware-Based Algorithms

While genetic programming is in theory a generally applicable method for machine learning of algorithms, it is currently impractical for certain problem domains due to its computational requirements. We are developing the EvolvaWare system to utilize the computational speedups provided by reconfigurable hardware to speed the learning process. Additionally, the hardware-based implementations pro...