Research Article
A New Evolutionary-Incremental Framework for Feature Selection
Algorithm 3
Standard invasive weed optimization.
Input: : minimum production rate, : maximum production rate, : minimum number of seeds, : maximum | number of seeds | (i) Initialization: a finite number of seeds are being dispread over the search space randomly, the number of initial seeds | have to be fall in the range | (ii) Evaluation: calculation of fitness value of each seed | (iii) Reproduction: current seeds grow to flowering and produce new seeds. Rate of production of each flower is dependent to | the fitness of the corresponding seed. The production rate of seeds is linearly computed based on their fitness in the range | | (iv) Spatial Dispersal: the produced seeds are being randomly dispread over the search space and grow | (v) Competitive Exclusion: if the maximum number of plants is greater than , now only plants with the highest fitness | values can survive and produce seeds. Other plants are eliminated | (vi) Termination Condition: if termination condition(s) is satisfied, the algorithm is finished; otherwise go to step (iii). | When the algorithm is finished, the best solution with the highest fitness value is the output of the algorithm. |
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