HEEDS
Let the algorithm try every option for you
HEEDS is a design space exploration and multidisciplinary optimisation platform that drives any simulation tool to search for optimal designs automatically — turning a handful of manual trials into thousands of algorithmic ones.
The usual optimisation routine is to change a few dimensions, run a handful of cases and pick something that looks reasonable. The weakness is obvious: how far you explore depends on the engineer’s experience and patience, and parameter interactions are largely guesswork. HEEDS wraps the simulation process and explores the design space with intelligent search algorithms.
It is solver agnostic: Simcenter, Abaqus, ANSYS or an in-house code — anything callable in batch. For companies with a mature simulation workflow that is the practical part: you do not start over, you plug it in and gain automated optimisation immediately.
Key capabilities
Intelligent search
Hybrid search strategies that find better solutions within a fixed compute budget.
Solver independent
Drives any simulation tool callable in batch — no lock-in to one package.
Design space visualisation
Visualises results across multi-dimensional parameter space, exposing sensitivity and trade-offs.
Parallel and distributed
Submits many designs concurrently to make full use of a compute cluster.
Multi-objective optimisation
Optimises conflicting objectives simultaneously and returns the Pareto front for decision making.
Robustness and reliability
Accounts for manufacturing tolerance and operating variability, finding robust rather than fragile optima.
What it delivers
- Optimisation moves from a few trials to thousands of evaluations, finding better designs
- No need to replace existing tools — plug in and go, with modest investment
- Multi-objective trade-offs become explicit and quantified
- Accounting for tolerance and variability makes optima practical to build
- Frees engineers from repetitive trial runs to focus on judgement
Modules & components
Typical applications
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