Pseudo-Boolean Optimization

Pseudo-Boolean Optimization involves finding the best solution for problems where variables are binary (0 or 1). It aims to maximize or minimize a function made up of weighted sums of these variables, subject to certain constraints. Think of it as a way to make the best choices among yes/no options to optimize a goal, like scheduling or resource allocation. This method is widely used in fields like operations research, computer science, and engineering to solve complex decision problems efficiently.