The student Shilan Waa'd Idwan obtained her master's degree from the Department of Computer Sciences / University of Technology for her thesis entitled "Multi Robot Path Planning in Cluttered Environment Using Evolution Computation Techniques" The thesis is proposal of the multi-robot path planning system in a two-dimensional environment to solve the problem of finding a road in Traffic jam. The modified algorithm was used with the approximate bats algorithm. The direction of the fast-tracked random tree detection algorithm was first modified and redirected by replacing stored storage accounts with a proposed new calculation method that reduces execution time. Secondly, the algorithm of the fast-tracked, fast-tracked random tree has been modified to operate in a moving environment by modifying the evaluation equation with a proposed one based on the bat's algorithm. Thirdly, enable the rapid-oriented, rapid-motion-guided random-motion detection algorithm to plan the path of multiple robots in a parallel, dynamic and real-time environment by employing the swarm principle on the bat-swarm algorithm that has been combined with the improved modified rapid-guided random tree algorithm. Object detection algorithm and improved tracking algorithms. The development of algorithms for estimating traffic parameters such as displacement, speed, direction and positioning are generated through the development of the results of detection and tracking algorithms.

This was on Sunday 10/6/2018 and at the discussion hall in the annex building of the department. The discussion committee consisted of Dr. Nada Flieh Hassan of the University of Technology / Department of Computer Sciences and Dr. Bilal Khalil Ismail, from Al Anbar University, Computer Science Department, and Dr. Abbas Fadhel Mohammed Ali, from the University of Information and Communication Technology, in the presence of the student 's supervisor (Dr. Aliaa' Karim Abdel Hassan).

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