Abstract:

This article represents a research, analysis and comparison for search algorithms decision in solution space used for training students. The aim of this study is to develop a methodology for comparing algorithms. The methodology will be visually presented in a web-based virtual laboratory for Artificial Intelligence studies. Embedding the methodology into a web-based virtual laboratory will support the educational process of the subject, with trainees being able to conduct self-training from their homes. The study of these algorithms and the creation of the methodology will improve the perception of information, both for easier learning and for understanding the difference between the different algorithms, their advantages and disadvantages. The need to develop a methodology to integrate into the subject studies comes from the rapid development in this area and the need for teachers and learners to follow these rates.

Advantages will be the creation of a methodology in which these algorithms will be presented visually, so:
- Students will be able to better understand search algorithms in the field of artificial intelligence;
- You will be able to understand clearly how each algorithm functions and works;
- They will be able to compare more easily because of the visual image they will acquire.

Keywords:

Searching Algorithms, Artificial Intelligence Education, Comparison Methodology.