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Poplar Optimization Algorithm || Step-By-Step || ~xRay Pixy

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The Poplar Optimization Algorithm (POA) is a nature-inspired optimization method based on how poplar trees reproduce. It uses sexual propagation (seed dispersal by wind) for exploration and asexual reproduction (cutting and regrowth) for exploitation. Mutation and chaos factors help maintain diversity and prevent premature convergence, making POA efficient for solving complex optimization problems. Learn the Poplar Optimization Algorithm Step-By-Step using Examples. Video Chapters: Poplar Optimization Algorithm (POA) 00:00 Introduction 02:12 POA Applications 03:32 POA Steps 05:50 Execute Algorithm 1 13:45 Execute Algorithm 2 16:38 Execute Algorithm 3 18:15 Conclusion Main Points of the Poplar Optimization Algorithm (POA) Nature-Inspired Algorithm ā€“ Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) ā€“ Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) ā€“ Strong branches grow ...

How to Create Objective Function for Real-Life Problems || PART 08 || ~x...

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Learn how to create an Objective Function for any real-life optimization problem. 00:00 Introduction 00:25 STEPS 02:41 Numerical Example 06:19 Objective Function Verification 07:48 Graphical Representation  08:31 Conclusion

Hyperparameter Optimization || Numerical Example Using PSO || PART 2 ||...

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Learn how to optimize hyperparameters using PSO. Video Chapters: Hyperparameter Optimization 00:00 Introduction 01:30 Problem 02:15 Hyperparameters 03:24 Problem Setup 04:15 Numerical Example Step-By-Step 12:00 Conclusion

Hyperparameter Optimization || Deep Learning + PSO || Hybrid Approach

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Learn how to Optimize Hyperparameters in Deep Learning Using Particle Swarm Optimization (PSO) Video Chapters: Deep Learning + Particle Swarm Optimization 00:00 Introduction 00:59 Deep Learning 03:05 ANN Example 06:55 Deep Learning Applications 07:55 How to use Deep Learning 10:55 Deep Learning Tools 11:15 Hyperparameter Optimization Example 14:04 Hyperparameter 14:22 Conclusion 
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