A design and implementation of computer network-based robotic system using HTML language and CGI (Common Gateway Interface) scripts is carried out. The network of the implemented system may be either a simple wired LAN or wireless LAN or upgrade network to the Internet. The importance of such a system may arise in industrial applications controlled by remote sensing by many users who are distributed at different locations. The work deploys the development of a remote control of a robotic system through LAN, or wireless LAN or any other networks, and it is based on building an HTTP (Hyper Text Transport Protocol) server which has an ability of receiving orders from clients found on the same local area network, and translate these orders into low level machine functions which will be used to give the robotic system different orders.
A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).
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