We propose a united framework to address a family of classical mixed-integer optimization problems with logically constrained decision variables, including network design, facility location, unit ...

Zero-one integer programming relies on mutually exclusive yes (1) and no (0) decisions to find solutions to logic problems. In zero-one integer problems, each variable is represented only by 0 ...