Visualisation

Direct observation of a solution set obtained by a search algorithm becomes infeasible when an optimisation problem is of more than three objectives. As such, visualisation is critical - it is not only for the algorithm designer to evaluate and compare different algorithms, but also for the decision maker to choose their preferred solution.

• Visualised problem construction

• [TEVC17, CEC14] A test problem suite to aid the visual examination of algorithm performance, with its Pareto optimal solutions in a two-dimensional decision space having similar distribution to their images in any higher-dimensional objective space. [Read More]

• Parallel Coordinates

  • • [CIM17] A guide on how to read and compare many-objective solution sets in parallel coordinates.

    • [SEAL17] Adjusting parallel coordinates for a clearer observation of the correlation between objectives to be optimised.

• Objective Reduction

  • • [INS20] Reducing the dimensionality of the final solution set obtained by an optimisation algorithm for visualisation.