Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Algorithm 2: Pseudocode representation of the basic firefly algorithm.
Objective function f (X), | Randomly generate initial fireflies’ positions as | Light intensity at is determined by | Define light absorption coefficient, γ | Old_Solutions = | While (t < MaxGeneration) | New_sol = {}; | for | for | if then | X = Move d (, ); | | End if | Update(r, e−γr) | Evaluate new solutions, update light intensity | End for j | End for i | Z = Rank (Old_Solutions, New_sol) | | End while | Post process results and visualization |
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Algorithm 2: Pseudocode representation of the basic firefly algorithm. |