mixed-integer-optimization
// Mixed-integer linear and nonlinear programming
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SKILL.md Frontmatter
namemixed-integer-optimization
descriptionMixed-integer linear and nonlinear programming
allowed-toolsBash,Read,Write,Edit,Glob,Grep
metadata[object Object]
Mixed-Integer Optimization
Purpose
Provides capabilities for formulating and solving mixed-integer linear and nonlinear programming problems.
Capabilities
- Branch and bound/cut algorithms
- MIP formulation techniques
- Indicator constraints
- Big-M reformulations
- Lazy constraints
- Solution pool generation
Usage Guidelines
- Formulation: Use tight formulations with valid inequalities
- Big-M Selection: Choose appropriate Big-M values
- Branching: Configure branching priorities
- Solution Pool: Generate diverse feasible solutions
Tools/Libraries
- Gurobi
- CPLEX
- SCIP
- CBC