Mobile Genetic Elementsevolves

Using Mobile Health to Improve Genetic and Heart Diseases Prediction

Introduction: Mobile personal health are a rapidly growing area of health information technology. Mobile personal health users are able to manage their own health data and communicate with doctors in order to improve healthcare quality and efficiency. In recent years, information and communication technologies improvements, along with mobile Internet, offering anywhere and anytime connectivity,...

Trajectory Tracking of a Mobile Robot Using Fuzzy Logic Tuned by Genetic Algorithm (TECHNICAL NOTE)

In recent years, soft computing methods, like fuzzy logic and neural networks have been  presented and developed for the purpose of mobile robot trajectory tracking. In this paper we will present a fuzzy approach to the problem of mobile robot path tracking for the CEDRA rescue robot with a complicated kinematical model. After designing the fuzzy tracking controller, the membership functions an...

Finding a place for mobile genetic elements

*Correspondence to: James O. McInerney; Email: [email protected] While it has become increasingly clear that the Tree of Life hypothesis has limitations in its ability to describe the evolution of all evolving entities on the planet, there has been a marked reluctance to move away from the tree-based language. Ironically, while modifying the idea of the Tree of Life to the extent that i...

Mobile Robot Path Planning Using Genetic Algorithms

Genetic Algorithms (GAs) have demonstrated to be effective procedures for solving multicriterion optimization problems. These algorithms mimic models of natural evolution and have the ability to adaptively search large spaces in near-optimal ways. One direct application of this intelligent technique is in the area of evolutionary robotics, where GAs are typically used for designing behavioral c...

Modelling the evolution of mobile genetic elements