Implementation and evaluation of a number of AI search algorithms applied to the task of a flight route planner. Search algorithms include Breadth-First Search, Depth-First Search, Best-First Search and A* Search.

The report, including a summary of features implemented, design & implementation decisions, evaluation and testing, can be read here.

1. Clone the project: git clone https://github.com/Adamouization/AI-Search-Flight-Route-Planner

2. Cd into the directory and compile the files:

cd AI-Search-Flight-Route-Planner
javac src/A1Main.java

java A1Main <search_type> <world_size> <start_goal> <end_goal> [<obstacles>]

where:

• search_type is the type of search algorithm to use to find a solution e.g. DFS, BFS, AStar, BestF.
• world_size is the size of the world N (number of parallels).
• start_goal is the starting point of the agent.
• end_goal is the goal point that the agent must reach.
• obstacles is a number of points that the search algorithms cannot take when looking for a route.

Examples:

• BFS: java A1Main BFS 5 2,45 3,225
• DFS: java A1Main DFS 8 1,315 5,270
• BestF with 1 obstacle: java A1Main BestF 4 1,45 3,225 1,90
• A* with 2 obstacles: java A1Main AStar 4 1,45 3,225 1,90 1,0
• No route: java A1Main BFS 4 1,45 3,225 1,90 1,0 2,45

1. Generate the Javadocs: javadoc -d javadoc src/*.java

2. Open javadoc/index.html in your web browser.

• email: adam@jaamour.com
• LinkedIn: www.linkedin.com/in/adamjaamour
• website: www.adam.jaamour.com
• twitter: @Adamouization