Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization

Algorithm 4: Basic steps of hybrid intelligent system.

  1. Interpreting Data.

  2. Pre-processing the data.

  3. Select the classifier used for classification.

  4. Identify the parameters to be optimized for the classifier chosen in step3.

  5. Develop the objective function (Single/Multi).

  6. Pick out the optimization technique to be used for parameter optimization of the classifier selected in step-3 based on

        the objective function constructed in step4.

  7. Do the chosen optimization technique over the selected classifier for a finite iteration.

  8. Post process the result obtained in step 7.

Algorithm 4: Basic steps of hybrid intelligent system.