Scenario cluster Lagrangean decomposition for risk averse in multistage stochastic optimization
From MaRDI portal
Publication:1652363
DOI10.1016/j.cor.2017.04.007zbMath1458.90492OpenAlexW2605860082MaRDI QIDQ1652363
Aitziber Unzueta, Laureano Fernando Escudero Bueno, María Araceli Garín
Publication date: 11 July 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2017.04.007
subgradient methodmultistage stochastic mixed 0-1 optimizationprogressive hedging algorithmcluster Lagrangean problemdynamic constrained cutting plane algorithmtime stochastic dominance risk averse measure
Related Items
A combined SDDP/Benders decomposition approach with a risk-averse surface concept for reservoir operation in long term power generation planning, A framework for adaptive open-pit mining planning under geological uncertainty, Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks, On preparedness resource allocation planning for natural disaster relief under endogenous uncertainty with time-consistent risk-averse management, Multi-modal cargo logistics distribution problem: decomposition of the stochastic risk-averse models, Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation, Some matheuristic algorithms for multistage stochastic optimization models with endogenous uncertainty and risk management, On pricing-based equilibrium for network expansion planning. A multi-period bilevel approach under uncertainty, On solving large-scale multistage stochastic optimization problems with a new specialized interior-point approach, Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty, On capacity expansion planning under strategic and operational uncertainties based on stochastic dominance risk averse management, Risk management for forestry planning under uncertainty in demand and prices, On risk management of a two-stage stochastic mixed 0-1 model for the closed-loop supply chain design problem, On efficient matheuristic algorithms for multi-period stochastic facility location-assignment problems, On strategic multistage operational two-stage stochastic 0--1 optimization for the rapid transit network design problem, On dealing with strategic and tactical decision levels in forestry planning under uncertainty
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs
- Medium range optimization of copper extraction planning under uncertainty in future copper prices
- A parallelised distributed implementation of a branch and fix coordination algorithm
- On time stochastic dominance induced by mixed integer-linear recourse in multistage stochastic programs
- Risk aversion in multistage stochastic programming: a modeling and algorithmic perspective
- An algorithmic framework for solving large-scale multistage stochastic mixed 0-1 problems with nonsymmetric scenario trees. II: Parallelization
- An SDP approach for multiperiod mixed 0-1 linear programming models with stochastic dominance constraints for risk management
- Scenario cluster decomposition of the Lagrangian dual in two-stage stochastic mixed 0-1 optimization
- Cluster Lagrangean decomposition in multistage stochastic optimization
- Minimizing conditional-value-at-risk for stochastic scheduling problems
- Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion
- Two-stage stochastic optimization problems with stochastic ordering constraints on the recourse
- Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs
- A note on second-order stochastic dominance constraints induced by mixed-integer linear recourse
- Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
- Time-consistent approximations of risk-averse multistage stochastic optimization problems
- Scenario optimization
- On a time consistency concept in risk averse multistage stochastic programming
- Robust stochastic dominance and its application to risk-averse optimization
- On parallelization of a stochastic dynamic programming algorithm for solving large-scale mixed \(0-1\) problems under uncertainty
- On stochastic dynamic programming for solving large-scale planning problems under uncertainty
- Estimating allocations for value-at-risk portfolio optimization
- On \(BFC-MSMIP\) strategies for scenario cluster partitioning, and twin node family branching selection and bounding for multistage stochastic mixed integer programming
- Partitioning procedures for solving mixed-variables programming problems
- Multi-stage stochastic optimization applied to energy planning
- Dual decomposition in stochastic integer programming
- Progressive hedging and tabu search applied to mixed integer (0,1) multistage stochastic programming
- A multi-stage stochastic integer programming approach for capacity expansion under uncertainty
- The volume algorithm: Producing primal solutions with a subgradient method
- From stochastic dominance to mean-risk models: Semideviations as risk measures
- A parallel branch-and-fix coordination based matheuristic algorithm for solving large sized multistage stochastic mixed 0-1 problems
- The Benders decomposition algorithm: a literature review
- An algorithmic framework for solving large-scale multistage stochastic mixed 0-1 problems with nonsymmetric scenario trees
- Parallel decomposition of multistage stochastic programming problems
- Lagrangean relaxation. (With comments and rejoinder).
- A so-called cluster Benders decomposition approach for solving two-stage stochastic linear problems
- Lagrangian decomposition for large-scale two-stage stochastic mixed 0-1 problems
- A hierarchy of bounds for stochastic mixed-integer programs
- Risk-averse feasible policies for large-scale multistage stochastic linear programs
- Bundle methods for sum-functions with ``easy components: applications to multicommodity network design
- Risk neutral and risk averse stochastic dual dynamic programming method
- SDDP for some interstage dependent risk-averse problems and application to hydro-thermal planning
- Solving two-stage stochastic programming problems with level decomposition
- Convexity and decomposition of mean-risk stochastic programs
- Time consistency and risk averse dynamic decision models: definition, interpretation and practical consequences
- Conditional value-at-risk in stochastic programs with mixed-integer recourse
- Time-Consistent Decisions and Temporal Decomposition of Coherent Risk Functionals
- Inexact Bundle Methods for Two-Stage Stochastic Programming
- Scenarios and Policy Aggregation in Optimization Under Uncertainty
- Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse
- Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
- Lagrangean decomposition: A model yielding stronger lagrangean bounds
- Stochastic Programs with Fixed Recourse: The Equivalent Deterministic Program
- Risk Aversion via Excess Probabilities in Stochastic Programs with Mixed-Integer Recourse
- Optimization with Stochastic Dominance Constraints
- A New Scenario Decomposition Method for Large-Scale Stochastic Optimization
- On Convergence of an Augmented Lagrangian Decomposition Method for Sparse Convex Optimization
- Multistage Stochastic Decomposition: A Bridge between Stochastic Programming and Approximate Dynamic Programming
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
- The traveling-salesman problem and minimum spanning trees: Part II
- Deterministic Equivalents for Optimizing and Satisficing under Chance Constraints