A JuMP extension for Stochastic Dual Dynamic Programming
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Updated
Sep 16, 2026 - Julia
A JuMP extension for Stochastic Dual Dynamic Programming
Optimization models using various solvers
Repository contains implementation of Bender Decomposition for classical facility/warehause location problem using Python and Gurobi solver.
Benders decomposition with two subproblem | Integer programming
Data-driven decision making under uncertainty using matrices
Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
A Benders Decomposition Library in Python
Bender's decomposition for solving Mixed Integer Linear Programs (MILPs).
Framework to model two stage stochastic unit commitment optimization problems.
Modelling and optimization for microgrids, energy hubs, distribution systems and transmission systems
Home healthcare routing problem (HHCRP): replication of an algorithm from literature. Solving the master problem of a benders decomposition model of HHCRP using the mixed integer programming (MIP) method.
苏州园区“华为云杯”2023人工智能应用创新大赛(创客)- 🥈第二名
Multi-period Home Healthcare Routing Problem (HHCRP) with qualification, synchronization and time windows constraints.
Repository for the course Operations Research 2
Benders Decomposition with gurobipy!
An attempt to write optimization codes from textbooks and match the claimed numerical results
Optimizing Costs for Cloud Computing with Stochastic Programming
Algorithm for distributed traffic signal control
Collection of optimization models
User-redirection-aware co-optimization of public charging with local photovoltaics and battery storage
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