Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
25 resources matching
- AIMMS use casesUse cases
Case studies from AIMMS
- AMPL use casesUse cases
Optimization problems in businesses using AMPL
- Conference index Operations ResearchConference
Index with conferences about Operations Research for the following years
- Conference index OptimizationConference
Index with conferences about Optimization for the following years
- Coupa use casesUse cases
Customer success stories from Coupa including optimization problems
- CP ConferenceConference
International conference about Constraint Programming
- CPAIORConference
International conference about the integration of Constraint Programming, Artificial Intelligence and Operations Research
- DecisionBrain use casesUse cases
A track record of successful deployments in several countries across the globe from DecisionBrain
- FICO use casesUse cases
The Resource Center of use cases done with FICO
- GAMS use casesUse cases
A selection of case studies that demonstrate the diverse application areas of mathematical optimization with GAMS.
- Gurobi use casesUse cases
Insights from different case studies of companies using Gurobi
- Hexaly use casesUse cases
Success stories from different companies using Hexaly
- IBM use casesUse cases
Use cases from IBM
- ICORESConference
International Conference on Operations Research and Enterprise Systems
- INFORMS Calendar of eventsConference
Calendar of events from INFORMS
- International Conference on Operations Research (OR)Conference
International Conference on Operations Research
- Metaheuristics and Nature Inspired Computing Conference 2023Conference
International Conference on Metaheuristics and Nature Inspired Computing
- Metaheuristics International Conference (MIC)Conference
Metaheuristics International Conference
- MIPLearnSoftware
An extensible framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML). MIPLearn uses ML methods to automatically identify patterns in previously solved instances of the problem, then uses these patterns to accelerate the performance of conventional state-of-the-art MIP solvers such as CPLEX, Gurobi or XPRESS.
- More Optimal use casesUse cases
Real life examples from More Optimal
- Optimal Dynamics use casesUse cases
Case studies from Optimal Dynamics
- Optimal Solutions use casesUse cases
Case studies from Optimal Solutions focused on food & beverage, pharmaceuticals, airlines, and finance
- ORTECUse cases
Customer success stories from ORTEC
- The OR Society use casesUse cases
Business cases highlighted by The OR Society
- Timefold use casesUse cases
Customer stories of companies using Timefold for planning problems