This thesis introduces the novel paradigm of" constraint integer programming"(CIP), which
integrates constraint programming (CP) and mixed integer programming (MIP) modeling …

We consider the Vehicle Routing Problem, in which a fixed fleet of delivery vehicles of
uniform capacity must service known customer demands for a single commodity from a …

This paper examines approximate dynamic programming algorithms for the single-vehicle
routing problem with stochastic demands from a dynamic or reoptimization perspective. The …

A lot of problems arising in Combinatorial Optimization and Operations Research can be
formulated as Mixed Integer Programs (MIP). Although MIP-solving is an NP-hard …

In many mixed integer programs there is some embedded problem structure which can be
exploited, often by a decomposition. When the relaxation in each node of a branch …

Nonlinearoptimizationproblemscontainingb… are called mixed integer nonlinear programs
(MINLP). Such problems arise in many? elds, such as process industry, engineering design …

Column generation is an indispensable tool in computational optimization to solve a
mathematical program by iteratively adding the variables of the model. Even though the …

Multi-echelon distribution systems are quite common in supply-chain and logistic
management. They are used by public administrations in their transportation and traffic …

A mixed-integer linear program (MILP) is a mathematical program with linear constraints in
which a specified subset of the variables are required to take on integer values. Although …

The real-time operation of a fleet of vehicles introduces challenging optimization problems.
In this work, we propose an event-driven framework that anticipates unknown changes …