Over the last sixty years, the study of network flows has led to some of the most appealing and useful results in applied mathematics, including efficient algorithms for certain linear and combinatorial optimization problems. This text continues this journey and presents a novel approach to relate binary-constrained integer programs to a new class of (semi-)simultaneous network flows. The exposition of the material is fully self-contained and first provides a thorough review of the most important concepts from both integer and network flow programming, as well as the theory of computational complexity. All new results are developed and explained in much detail, illustrated on over 20 examples and more than 30 figures, and used for the implementation of several algorithms. C++ and model codes are included. Originally prepared and written during completion of the author's diploma studies, this book is well-suited for advanced students and active researchers who are interested in general advances of operations research and mathematical programming. Also available from VDM is the dissertation title "Beyond Pareto Optimality - Domination and Decomposition in Multiobjective Programming."

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