The first part of the paper discusses the importance and correlation of convergence and divergence in Genetic Algorithm. Different problems are used as examples, such as the artificial ant problem, regression problems, parity problem, and 16x16 Iterated Prisoner Dilemma, to illustrate the correlation - but not causation - between genetic diversity and performance of GA. The second part analyzes the advantages and disadvantages of different searching algorithms and demonstrates the working of the decision tree algorithm. The third and the last part applies the taught algorithms on a self-driving car, including path planning, perception and localization, behavior arbitration, and motion controllers as its components.

Project of 2021.01

mATE is a social networking dining application in which users can search, rate, and manage the restaurants they have been to, as well as interacting with other users and building their personal network of desirable friends and dining experience. Multiple add-on features such as live feed update (Socket.io), tags based rating system, and reservation system (with mail support) are included. It is a complete application consisting of expandable front end, back end, and database, ready to launch if needed. It is also designed, documented, and reviewed in detail with UML diagrams and test cases.

Project of 2021.04