JSTOR Daily

The Inverse Optimal Problem: A Dynamic Programming Approach

This is a preview. Log in through your library . Abstract The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential ...
IEEE

A Hybrid Method Based on Multi-Agent Reinforcement Learning and Integer Programming for Dynamic Slab Design Problems in Steel Industry

Abstract: This paper investigates a dynamic slab design problem in the steel industry, where order demands arrive dynamically during a given period. Slabs are the raw materials for producing order ...
University of Dayton

Engineering Research

As the No. 1 Catholic university in the nation for sponsored engineering research and development, the University of Dayton is dedicated to research for the common good. Our quest? To turn discovery ...
IEEE

Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underpowered Systems Operating in Uncertain Ocean Currents

Abstract: Seaweed biomass presents a substantial opportunity for climate mitigation, yet to realize its potential, farming must be expanded to the vast open oceans. However, in the open ocean neither ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...