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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 ...

Krill Herd Optimization NUMERICAL EXAMPLE ~xRay Pixy

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 Krill Herd Optimization Algorithm Numerical Example KRILL HERD OPTIMIZATION ALGORITHM STEPS Initialize Algorithm Parameters. Initialize Population for Krill's. Evaluate Krill's Performance. Selection Best Krill Among all. Check While (Current Iteration <= Maximum Iteration) Calculate Neighbors Krill Effect. Movement Induced. Calculate Food Attraction. Calculate Best Position Attraction. Foraging Motion. Physical Diffusion. Crossover and Mutation Update Krill Position. End While Display Best Solution Movement Induced Calculation Foraging Motion Calculation Physical Diffusion Calculation What is Krill Herd Optimization Algorithm?  Krill herd optimization algorithm is introduced in 2012 to solve the Global Optimization Function. This is a population-based Swarm Intelligence Search Algorithm based on the Herding behavior of krill.   In the Krill herd optimization algorithm, we have a  Group of Krill individuals and they are  Se...
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