Search algorithms are widely used in artificial intelligence and graph traversal nowadays. A* and AO* are the two informed search algorithms. In this article, we will focus on the differences between those algorithms based on different criteria.

A* Algorithm

Let’s briefly understand what the A* algorithm is:

• A* is a widely used path-finding algorithm in computer science and is particularly useful for applications like route planning in maps, robotics, and games.
• It is an informed search algorithm meaning it uses a heuristic to estimate the cost of reaching the goal from any given node.
• A* algorithm is like a GPS for computers. It is widely used in many areas of computer science, especially in things like video games where characters need to find the best path to a destination.
• A* is efficient and clever because it doesn’t waste time exploring unnecessary routes.
• It uses a clever trick called a heuristic which is like a smart guess to estimate how far it is from any point to the goal. This helps it find the quickest path without having to look at every single option.

AO* Algorithm

Let’s briefly understand what the AO* algorithm is:

• AO* is a variant of the A* algorithm. It is designed to be more flexible and capable of adapting to changing environments.
• AO* can repair its solution whenever it encounters a change in the environment without having to start the search from scratch.
• AO* is like a supercharged version of A*. It is designed to handle situations where things might change like a dynamic environment.
• For example, imagine a robot moving around a busy room. If furniture gets rearranged AO* can quickly adjust its plan without starting from scratch.
• One of the cool things about AO* is that it uses a combination of OR and AND operations. This means it can consider multiple paths simultaneously making it really good at adapting to new information.
• It’s like being able to plan a route while also keeping an eye on alternative options. This makes AO* a powerful tool for tasks that involve uncertainty and change.

Difference Between A* and AO* Alogithm

Conclusion

In conclusion, A* and AO* algorithms are essential tools when we need searching algorithms. While A* offers a robust and widely used method for finding optimal paths, AO* enhances the adaptability and efficiency which has evolved the usage of searching algorithms into solving new complex problems.