VKSUBOPTIMALKHR
VKSUBOPTIMALKHR is a class of heuristic optimization methods designed to produce suboptimal but rapidly obtainable solutions for large-scale combinatorial problems. The approach emphasizes speed and scalability over exact optimality, making it suitable for domains where exact methods are impractical. Typical application areas include graph partitioning, scheduling, routing, network design, and facility location, where decision variables and constraints grow quickly with problem size.
The method combines a core optimization kernel with suboptimal, lower-cost components. At each iteration, the kernel
Performance claims for VKSUBOPTIMALKHR are typically empirical. In general, the technique aims to deliver usable solutions
The term VKSUBOPTIMALKHR does not denote a single canonical algorithm, but rather a family of methods described