Research Article
[Retracted] Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes
Algorithm 1
The pseudo-code for the algorithm is given below.
| Begin | | Initialize the population with random solutions | | Calculate fitness value as the quality measure for each individual | | Rank the solutions based on fitness values according to the problem (either maximization or minimization) | | For j = 1 to N (generation count) | | Choose an operator randomly (crossover/mutation) | | If (crossover) | | Select any two parent solutions randomly | | Create offspring via crossover | | Else if (mutation) | | Select a parent solution randomly | | Create offspring via mutation | | End if | | Calculate the new fitness value | | Replace the worst solution in the population with this offspring | | Next j; | | Check for stopping criteria | | End |
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