I'm creating a tool to help planes fly smarter between two cities, A and B. Think of it like Google Maps, but for airplanes. When planes fly, they don't go straight from A to B; they follow a path that hops from one point to another, called waypoints. These waypoints and other details like how far the plane flies, how long it takes, and how much fuel it uses are all planned ahead and written down in what's called a flight planning report. But, the actual flight might use more fuel or take longer than expected.

I've got records of past flights between these cities, so I know which paths turned out to be really good at saving fuel. My goal is to build an algorithm that looks at the planned route for an upcoming flight and checks it against these past flights. Then, it'll suggest to the pilots the best paths to take for saving fuel. It's like giving them a heads-up on which routes have been most fuel-efficient in the past." I am a complete newbie in this. Can someone please help me with the optimisation method I should opt for?