Ant Colony Optimization Numerical Example Step-By-Step 00:00 Introduction 01:34 Ant Colony Optimization Steps 04:33 Step 1 Parameter Initialization 06:14 Step 2 Population Initialization 06:40 Step 3 Path Selection by Ants 12:16 Step 4 Objective Function Evaluation 14:28 Step 5 Test Convergence 15:27 Step 6 Second Iteration Start 15:36 Step 7 Pheromone Update 18:20 Step 8 Repeat ACO Loop 19:27 Path Selection by Ants 21:42 Objective Function Evaluation 22:51 Test Convergence 22:58 Third Iteration 23:25 Pheromone Update 24:26 Path Selection by Ants 25:00 Conclusion Ant Colony Optimization (ACO) Algorithm Steps Initialize Parameters. Initialize Ants Population. Calculate Path Selection Probability by ants. Apply Roulette Wheel Selection Process. Calculate Objective Function Values. Test Process Convergence. Increment Counter. Update Pheromones. Repeat Step 3 to Step 6. Display Best Solution How to Calculate Path Selection Probability by Ants? For any ant (k), the Probability of Selecting
