In many database marketing applications the goal is to predict the customer behavior based on their previous actions. A usual approach is to develop models which maximize accuracy on the training and test sets and then apply these models on the unseen data. We show that in order to maximize business payoffs, accuracy optimization is insufficient by itself, and explore different strategies to ta...

We study two different choice models that capture the purchasing behavior of customers who only consider purchasing one of two substitutable products. We refer to these customers as choosy. The first choice model captures substitution behavior through probabilistic transitions between products. Under this choice model, a customer’s buying process can be captured in two steps: an arrival with th...

Traffic signal setting is an important element in traffic planning of urban road networks in ordinary conditions and/or in emergency conditions. As traffic signal setting affects user behaviour mainly at the path choice dimension, this dependence has to be studied by means of assignment models. We thus present a system of models and procedures for signal setting optimization with assignment of ...

We demonstrate an automatic method of force field development for molecular simulations. Parameter tuning is taken as an optimization problem in many dimensions. The parameters are automatically adapted to reproduce known experimental data such as the density and the heat of vaporization. Our method is more systematic than guessing parameters and, at the same time saves human labour in paramete...

In this paper, we present an optimization framework for automating the shape customization of human-centric products, which can be mounted on or embedded in human body (such as exoskeletal devices and implants). This kind of products needs to be customized to fit the body shapes of users. At present, the design customization for freeform objects is often taken in an interactive manner that is i...

We study a network airline revenue management problem with discrete customer choice behavior. We discuss a choice model based on the concept of preference orders, in which customers can be grouped according to a list of options in decreasing order of preference. If a customer’s preferred option is not available, the customer moves to the next choice on the list with some probability. If that op...