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Unanswered Questions

28 questions with no upvoted or accepted answers
1 vote
0 answers
41 views

How would the Contextual Stochastic Optimization framework be applied to a bilevel problem whose uncertain parameters lie in the inner problem?

Although I only heard about Contextual Stochastic Optimization (CSO) a few months ago, I know now the excitement has been going on for a while. I'm not sure if the idea of CSO has been around for long,...
1 vote
0 answers
58 views

Distributionally Robust Stochastic Programming - Help with derivation

I've been working through this book on robust optimization of electric energy systems, and in particular chapter 4 on distributionally robust optimization. In following the derivation of section 4.2.1....
1 vote
0 answers
38 views

Multicollinearity w.r.t decisions in optimal control/reinforcement learning learning/resource allocation problem

Consider the following optimization/control problem: We aim to maximize the cumulative reward $R$ during the horizon $H$ by every day allocating a portion of total budget $B$ to our two different ...
1 vote
0 answers
71 views

Multi-Stage Stochastic Decomposition

I have a multi-stage model with both binary and continuous first-stage investment variables and continuous operational next-stage variables: $$ \sum_{s} \rho_{s} \left[ x_{s} + y_{s} + \sum_{t}(y^{op}...
1 vote
0 answers
68 views

Scenario Tree Construction in Multi-Stage Stochastic Programming

I gonna use the approach used in this document. Suppose there are $T$ stages and uncertain parameter is $\xi_{t}, \quad t \in \{1,2,\dots,T\}$. In this algorithm, it is required to calculate the ...
1 vote
0 answers
117 views

How do I find the extreme rays and points for a stochastic programming problem

I have the following 2 stage Stochastic Programming program: \begin{align}\min_x& \quad x+\sum_{s=1}^{3}p_sQ_s(x)\\\text{s.t.}&\quad x\in\Bbb R\\&\quad Q_s(x)=\min\left[\begin{pmatrix}1&...
0 votes
0 answers
26 views

Understanding different norms in the p-Wasserstein distance

The generalized p-Wasserstein distance, for $p\geq 1$, is given by $$d_W(Q_1,Q_2):=inf \left\{\int_{\Xi_2}||\xi_1-\xi_2||^p \Pi(d\xi_1,d\xi_2)\right\}$$ where $\Pi$ is the joint distribution of $\xi_1$...
0 votes
0 answers
20 views

Supremum of a probabilistic function with ambiguity distribution set using Wasserstein metric

There is a proof of how to derive distributionally robust chance constraints with ellipsoid bound. $$\inf_{\mathbb{P}\in\mathcal{D}^{WD}} \mathbb{P}\{\|\mathbf{A\zeta-b}\|_2 \leq 1\} \geq 1-\epsilon$$ ...
0 votes
0 answers
56 views

How to initialize a parameter (belonging to the first stage model) in a two stage model, taking its value from second stage model?

I am working on a two stage approach in order to reduce the complexity of a scheduling model which is an NP-hard problem. I have to implement a while loop in order to repeat solving the models in case ...
0 votes
0 answers
46 views

monte carlo for a selection problem

What type of Monte Carlo simulation is suitable for solving this problem? Also, how can we select results after simulation to guarantee feasibility?
0 votes
0 answers
69 views

Simplex algorithm for stochastic constraints?

The OR-Notes by J E Beasley states: Hence the problem: minimise 5x+6y subject to: Prob(a1x + a2y >= 3) >= 1-alpha x,y >= 0 ...
0 votes
0 answers
84 views

Resource allocation problem - RL or stochastic optimization?

I am currently working on a resource allocation problem and I am uncertain about which field of stochastic optimization and reinforcement learning encompasses this particular problem. The objective is ...
0 votes
1 answer
99 views

Theorem proving Stochastic Optimization for Unit Commitment always better than deterministic solution

I'm trying to recall a theorem that I was taught in grad school, but can't remember the name of the theorem. We were learning about different methods to solve unit committment and economic dispatch ...

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