Edge Cut Minimization is an optimization problem focused on reducing the number of edges that need to be removed to partition a graph into disjoint subgraphs while maintaining certain properties, such as balanced sizes or connectivity. It is crucial in applications like parallel computing, network design, and VLSI design, where minimizing communication or interaction between partitions is essential for efficiency and performance.