dezineforce’s design search and optimisation capabilities are an essential tool for companies performing advanced, high value and high performance design. dezineforce tools support the designer in the systematic search for better designs by enabling them to gain insights into design behaviour and their improvement. At all times the designer remains in control, to exercise engineering design judgement and make the right design decisions.

Extensive design search and optimisation approaches

The dezineforce optimisation toolset covers all the following main algorithmic approaches to optimisation and their hybrid variations.

• Hill-climbing methods
• Gradient-based methods
• Evolutionary methods
• Design of Experiment and
• Response Surface methods

Hybrid optimisation

Hybrid optimisation approaches that combine more than one of the above main algorithmic approaches are available from dezineforce. Such hybrid methods can yield considerable insight into the robustness of the design where each of the design performance might be subject to a variety of, often conflicting, operational requirements.

Hybrid algorithms assist the designer by initially casting a wide view over an objective function that might be expensive to calculate. The ability to focus in on specific parameter values that improve the design significantly is very helpful to narrow the scope for a design solution. Once a narrow region of maximum potential for design improvement is identified, the designer can then zero in to locate the best design.

At each stage the designer gains further insight into their design and the dezineforce tools help them make further choices to improve it. The dezineforce approach, tools and technologies that are available to users and their impact on BAE SYSTEMS are described in this Microsoft video.