Data structures used for an algorithm can have a great impact on its performance, particularly for the solution of large and complex problems, such as multi-objective optimization problems (MOPs). Multi-objective evolutionary algorithms (MOEAs) are considered an attractive approach for solving MOPs, since they are able to explore several parts of the Pareto front simultaneously. The data structures for storing and updating populations and non-dominated solutions (archives) may affect the efficiency of the search process.
This course introduces students to the wide field of Artificial Intelligence (AI) with emphasis on its use to solve real world problems. Students will be trained to get a basic and solid understanding of various fundamental topics of Artificial Intelligence including searching, knowledge representation and reasoning, rule based systems and machine learning. This course is also an opportunity for students to discover AI based technologies. It should review how AI techniques have been incorporated by companies to enhance traditional business applications.
This course includes the following topics:Introduction to computers and Operation Systems, Microsoft Windows Operating System, Microsoft Word, Microsoft Excel, Microsoft PowerPoint ,Microsoft Access
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