The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

We develop new algorithmic approaches to compute provably near-optimal policies for multiperiod stochastic lot-sizing inventory models with positive lead times, general demand distributions, and ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

This is a preview. Log in through your library . Abstract We apply a potential reduction algorithm to solve the general linear complementarity problem (GLCP) minimize ...

On Friday the 25th of May 2018, M.Sc. Jeremias Berg will defend his doctoral thesis on Solving Optimization Problems via Maximum Satisfiablity in Kumpula. The thesis is a part of the research done at ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...