Research Article
Machine Learning-Based Data Analytics for IoT-Enabled Industry Automation
Algorithm 2
Proposed ideal path selection algorithm.
Input: Clustered Nodes; | Output: Ideal Path Selection; | Begin | 1: Produce initial population | 2: Calculate the fitness function of the population by eqn (5.1) | 3: Fix counter=1 | 4: Do | //Employed bees phase | 5: Search for the food source; | 6: Calculate the fitness function by eqn.(5.1); | 7: Employ greedy selection process; | 8: Compute the probability for the food source by eqn.(5.3); | // Onlooker bees phase | 9: Select food source based on the probability values; | 10: Generate new food source; | 11: Calculate the fitness function; | 12: Apply greedy selection process; | //Scout bees phase | 13: If food source drops out then swap it with new food source; | 14: Save the best food source; | 15: Counter + =1; | 16: While counter=MC; |
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