Description
Parallel search algorithms can be built on top of a COIN-OR framework designed for high-performance optimization workflows. It is useful for researchers and developers implementing branch-and-bound, combinatorial optimization, or solver infrastructure.
Optimization frameworks require careful modeling and validation. Results depend on problem formulation, solver configuration, and numerical assumptions.