Subproblem optimization involves breaking down a complex problem into smaller, more manageable subproblems, solving each one optimally, and then combining these solutions to address the original problem. This approach is fundamental in dynamic programming and divide-and-conquer strategies, where the optimal solution to the entire problem is constructed from the optimal solutions of its subproblems.