MathWorks Optimization Toolbox vs MathWorks Global Optimization Toolbox
Optimization Toolbox provides solvers for supported optimisation formulations. Global Optimization Toolbox adds selected methods for global, multiple-optimum or nonsmooth search contexts. They can be complementary; choose around the problem structure and verify the required base products.
Which option fits the requirement?
Optimization Toolbox provides solvers for supported optimisation formulations. Global Optimization Toolbox adds selected methods for global, multiple-optimum or nonsmooth search contexts. They can be complementary; choose around the problem structure and verify the required base products.
Seven differences that change the shortlist
| Buying question | MathWorks Optimization Toolbox | MathWorks Global Optimization Toolbox |
|---|---|---|
| Product role | Optimisation solvers within MATLAB | Global and nonsmooth optimisation methods within MATLAB |
| Problem context | Supported constrained and unconstrained problems | Problems with multiple possible optima and selected search methods |
| Modelling workflow | MATLAB problem-based and solver workflows | MATLAB optimisation workflows |
| Execution context | Required MATLAB and toolbox configuration | Required MATLAB and toolbox configuration |
| Dependency boundary | Check solver assumptions, supported formulations and deployment rights | Some workflows can need additional products and compute resources |
| Evaluation focus | Problem structure, feasibility and convergence behaviour | Search method, stopping criteria and repeatability |
| Cost components | MATLAB, toolbox, compute and deployment products | Base software, toolbox, optional dependencies and compute |
Four worked buying briefs
These are hypothetical scenarios with explicit assumptions. They do not establish equal capabilities, measured usability or a negotiated price.
| Requirement | Proposed exercise | Accept when |
|---|---|---|
| Formulation | Write one copied problem with objective, variables, bounds and constraints. | The formulation and required variable types are supported. |
| Feasibility | Solve the reference problem and inspect constraint residuals. | The result satisfies independently specified feasibility criteria. |
| Repeatability | Repeat with recorded settings, starting points and random seeds where applicable. | Outcomes and stopping behaviour can be explained and reproduced. |
| Production integration | Describe the application interface and intended execution environment. | Licences, APIs, runtime and support cover the planned use. |
Formulation
Can the team write one copied problem with objective, variables, bounds and constraints?
MathWorks Optimization Toolbox: With MathWorks Optimization Toolbox, write one copied problem with objective, variables, bounds and constraints.
MathWorks Global Optimization Toolbox: With MathWorks Global Optimization Toolbox, write one copied problem with objective, variables, bounds and constraints.
The formulation and required variable types are supported.
Feasibility
Can the team solve the reference problem and inspect constraint residuals?
MathWorks Optimization Toolbox: With MathWorks Optimization Toolbox, solve the reference problem and inspect constraint residuals.
MathWorks Global Optimization Toolbox: With MathWorks Global Optimization Toolbox, solve the reference problem and inspect constraint residuals.
The result satisfies independently specified feasibility criteria.
Repeatability
Can the team repeat with recorded settings, starting points and random seeds where applicable?
MathWorks Optimization Toolbox: With MathWorks Optimization Toolbox, repeat with recorded settings, starting points and random seeds where applicable.
MathWorks Global Optimization Toolbox: With MathWorks Global Optimization Toolbox, repeat with recorded settings, starting points and random seeds where applicable.
Outcomes and stopping behaviour can be explained and reproduced.
Production integration
Can the team describe the application interface and intended execution environment?
MathWorks Optimization Toolbox: With MathWorks Optimization Toolbox, describe the application interface and intended execution environment.
MathWorks Global Optimization Toolbox: With MathWorks Global Optimization Toolbox, describe the application interface and intended execution environment.
Licences, APIs, runtime and support cover the planned use.
Scope and architecture
Optimization Toolbox provides solvers for supported optimisation formulations. Global Optimization Toolbox adds selected methods for global, multiple-optimum or nonsmooth search contexts. They can be complementary; choose around the problem structure and verify the required base products.
Solver fit depends on objective and constraint structure, variable types and mathematical assumptions. A global search method does not guarantee the globally optimal answer for every problem. Toolbox and solver licences, supported interfaces and deployment rights must be checked separately.
MathWorks Optimization Toolbox product information ↗ · MathWorks Global Optimization Toolbox product information ↗
Cost and migration planning
For MathWorks Optimization Toolbox, include mATLAB, toolbox, compute and deployment products. For MathWorks Global Optimization Toolbox, include base software, toolbox, optional dependencies and compute. Define the same task, inputs, required outputs and operating environment, then confirm current terms for the actual software configuration.
Use an authorised benchmark problem with known inputs and independently defined feasibility criteria. Preserve objective definitions, constraints, bounds and stopping conditions. Review solution quality and production licensing before adopting a different solver workflow.
Questions before you choose
How should we choose between MathWorks Optimization Toolbox and MathWorks Global Optimization Toolbox?
Optimization Toolbox provides solvers for supported optimisation formulations. Global Optimization Toolbox adds selected methods for global, multiple-optimum or nonsmooth search contexts. They can be complementary; choose around the problem structure and verify the required base products.
Which costs belong in the comparison?
For MathWorks Optimization Toolbox, include mATLAB, toolbox, compute and deployment products. For MathWorks Global Optimization Toolbox, include base software, toolbox, optional dependencies and compute. Define the same task, inputs, required outputs and operating environment, then confirm current terms for the actual software configuration.
What should we validate before a production move?
Use an authorised benchmark problem with known inputs and independently defined feasibility criteria. Preserve objective definitions, constraints, bounds and stopping conditions. Review solution quality and production licensing before adopting a different solver workflow.
Turn the comparison into your own evaluation
Use the same criteria and priorities for both products, keep unknowns unassessed and record the plan and evidence behind your ratings.
Build a MathWorks Optimization Toolbox vs MathWorks Global Optimization Toolbox scorecard →Keep the assumptions with the figures
Use the date, billing cycle, units and limits with each example. Check current account terms before purchasing. Unverified prices and model costs stay unpriced.
Download the buying examples as JSON ↓Share the comparison
Use these examples when discussing the shortlist with your team.