In this study, the problem environment consists of two fast fashion retailing firms where one can obtain the other's selling data from an outside agent. The ...

This paper proposes a multi-stage stochastic programming formulation based on affine decision rules for the reservoir management problem. Our approach seeks ...

Partially observed Mean Field Game (PO MFG) theory was introduced and developed in (Caines and Kizilkale, 2013, 2014, Şen and Caines 2014, 2015), where it i...

The object of study in the recent theory of Mean Field Games has been primarily large populations of agents interacting through a population dependent coupli...

This paper proposes a multi-stage stochastic programming formulation for the reservoir management problem. Our problem specifically consists in minimizing th...

We develop a general structural model for valuing risky corporate debts that takes into account both default and interest rate risk. We propose a two-dimensi...

The traditional mine planning framework employs a flawed approach in the design of ultimate pit limits and phases. Conventional methods arbitrarily confine ...

This paper presents three hyper-heuristic approaches for the stochastic open-pit mine production scheduling problem with one processing stream (SMPS) and one...

Locally weighted regression combines the advantages of polynomial regression and kernel smoothing. We present three ideas for appropriate and effective use...

In this paper, we study how uncertainties weighing on the climate system impact the optimal technological pathways the world energy system should take to com...

We consider a class of dynamic games played over an event tree, with random terminal. We assume that the players wish to jointly optimize their payoffs thr...

Lévy processes provide a solution to overcome the shortcomings of the lognormal hypothesis. A growing literature proposes the use of pure-jump Lévy processe...

Blackbox optimization problems are often contaminated with numerical noise, and direct search methods such as the Mesh Adaptive Direct Search (MADS) algorit...

The authors investigate the complexity needed in the structure of the scenario trees to maximize energy production in a rolling-horizon framework. Three comp...

We propose a dynamic program coupled with finite elements for valuing two-dimensional American-style options. To speed-up our procedure, we use parallel comp...

We consider within the framework of Mean Field Games theory a dynamic discrete choice model with an advertiser, where a large number of minor agents (e.g., c...

We consider a dynamic collective choice problem where a large number of players are cooperatively choosing between multiple destinations while being influenc...

One of the most complex early-exercise decisions faced by traders in the financial derivatives markets is with T-Bond futures, due to the combination of mu...

This paper presents an optimization method to solve the short-term unit commitment and loading problem with uncertain inflows. A scenario tree is built base...

The recent disappearance of a five-year-maturity gap from the set of Treasury bonds deliverable into the Chicago Board of Trade Treasury bond futures has res...