Imagine you have a small box with different toys and you need to fit them all inside a bigger box. The bigger box has a certain height, width, and depth, just like a suitcase. You need to pack the toys in the most efficient way possible so that they take up the least amount of space.
The strip packing problem is like that. Instead of toys, we have a bunch of rectangles with different widths and heights, and we need to fit them inside a larger rectangle with a fixed width and height. Just like the suitcase example, we want to fit them in as snugly as possible to take up the least amount of space.
But there's a catch – we can only place the smaller rectangles side by side, without any gaps. So we need to think carefully about the order in which we place them, and how much space we leave between each one.
This problem comes up a lot in real life situations. For example, in a factory, you might need to figure out how to cut different sized pieces of fabric out of a larger sheet with minimal leftover material. Or in computer science, the strip packing problem could come up when trying to optimize the placement of data on a hard drive for efficient access.
So, to sum it up – the strip packing problem is like trying to pack a bunch of differently sized rectangles inside a larger rectangle without any gaps. We want to do it in the most efficient way possible to save space.