In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
Clayton Matthew Johnson, Anu Bhat, William C. Thib...
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
Column generation is a state-of-the-art method for optimally solving di cult large-scale optimization problems such as airline crew assignment. We show how to apply column generati...
Ulrich Junker, Stefan E. Karisch, Niklas Kohl, Bo ...
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...