Introduction to Team N° 03 :

Overall Objectives :

The creation of the MOPE team within the ‘Vision and Communication Systems (VSC)’ laboratory at the University of Biskra is a proposal that arises from the needs for space, equipment, and organization for research and training in Electrical Engineering specifically, and engineering in general, to meet the demands for developing intelligent solutions to difficult or unsolvable optimization problems.

Engineering problems are, in most cases, optimization problems that require more or less accurate solutions. The complexity of these problems makes their resolution challenging, which leads to the use of unconventional, intelligent problem-solving tools. Metaheuristic algorithms have been designed to address these needs.

The objectives of creating this team are: the application, inspiration, design, and improvement of metaheuristic algorithms and their adaptation to engineering problems such as computer vision, system identification, diagnostics, control, etc. We aim to implement these techniques to facilitate their introduction into various industrial domains in the Biskra region and adapt them to the region’s specificities, such as the intelligent exploitation of natural resources (wind, sunlight, etc.) applied to agriculture, which is a key economic pillar of the region. Thus, the establishment of an industrial-university partnership opens research opportunities for all faculty researchers and students in the Electrical Engineering department, regardless of their research discipline, given the widespread use and intensive development of these algorithms worldwide.

Scientific Foundations :

Given the importance and presence of optimization problems in all scientific disciplines, especially in engineering, the research work of this team is oriented towards the following research axes:

· Formulating engineering problems as optimization problems.

·Designing new metaheuristic techniques and improving existing techniques.

·Applying metaheuristics to solve encountered problems.

.Hardware implementation of these techniques for real-world applications in industrial and agricultural domains.

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