Development of Genetic Range Genetic Algorithms (Setting of Searching Range)

Range Searching Range Searching

Optimal Range Segmentation Parameters through Genetic Algorithms

A wide number of algorithms for surjtiace segmentation in range images have been recently proposed characterized by different approaches (edge filling, region growing, . . . ), different su$ace types (either for planar or curved suifaces) and different parameters involved. Optimization of the parameter set is a particularly critical task since the range of parameter variability is often quite l...

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...

Divided Range Genetic Algorithms in Multiobjective Optimization Problems

In this paper, Divided Range Genetic Algorithm in Multi objective optimization Problems (DRGA) is proposed. In this method, population of GAs is sorted with respect to the objective function and divided into sub populations. In this model, the Pareto optimum solutions which are close to each other are collected by one sub population. Therefore, by this algorithm, the calculation efficiency is i...

Range Operation Using Genetic Algorithm

In this paper, a simplified model with a lower order is first developed for a nuclear steam generator system and verified against some realistic environments. Based on this simplified model, a hybrid multi-input and multi-out (MrMO) control system, consisting of feedforward control (FFC) and feedback control (FBC), is designed for wide range conditions by using the genetic algorithm (GA) techni...