If you've ever seen a steep increase in the fare for an Uber to the airport on a Friday, or you've checked an item's cost on Amazon, only to see it has changed hours later, you might have experienced ...

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

Evolutionary multiobjective optimization in dynamic environments is a challenging task, as it requires the optimization algorithm converging to a time-variant Pareto optimal front. This paper proposes ...

We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin ...

We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be satisfied only at a ...

This profit is given in relations to a stock x, a demand d and a number of orders o. The Bellman equation is written and the dynamic programming algorithm implemented to compute the stock necessary to ...