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Abstract-Tests are used in a variety of contexts in the activity of everyday and everywhere learning. They are a specific method in the process of assessment (evaluation), which is an important part of the educational activity. Setting an optimized sequence of tests (SOT) originating from a group of tests which have the same subject, with certain restrictions corresponding to a certain wish of the evaluator can be a slowly time-consuming task, because the restriction can be various and the number of tests can be high. In this matter, this paper presents a method of generating optimized sequences of tests within a battery of tests using a genetic algorithm. We associate a number of representative keywords with a test. The user expresses the restriction by setting up a number of keywords which approximate best the subject wanted to be tested. The genetic algorithm helps in finding the optimized solutions and uses a less amount of hardware resources.

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In this paper we will present an application, which uses genetic algorithms, which predicts the necessary quantity of water used to irrigate a crop. We will interpret the results from the humidity sensors, in order to obtain a better production value at the end of each day. The application is designed for a casual sized crop. We will present results obtained for days from different seasons, as well as results obtained for a different number of humidity sensors. We will not use a classic genetic algorithm. This particular form will not use the cross-over function.

In order to use a program written in C++ or in another programming language, a compiler and an development environment are necessary. In this paper we will present a method of using a C++ program from a web page and one of showing the results by using HTML, the ASP.NET framework and the Windows version of GNU GCC compiler -MinGW. The programming model presented in this paper can also be used for other compilers. The described application allows the implementation, test and usage of some algorithms without installing a development environment, using only a browser to connect to the Internet.