Research Article
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Algorithm 1: Pseudocode for particle swarm optimization.
For each particle | Initialize position and velocity randomly | End | | Do | For each particle | Calculate fitness function | If fitness value > pBest Then | Set current fitness value as pBest | End | Update particle with best fitness value as gBest | For each particle | Calculate new velocity using equation (18) | Update position using equation (19) | End | | While (t < maximum iterations) | Post process the result. |
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Algorithm 1: Pseudocode for particle swarm optimization. |