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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 ...

Sparrow Search Algorithm: New Optimization Algorithm 2021

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 Sparrow Search Algorithm Sparrow Search Algorithm is inspired by the foraging behaviors of Sparrows. 2 Types of Sparrow according to their roles in foraging:  Producers (they collect food from different sources) Scroungers ( obtain food discovered by producers ) OUTPUT: Best Position and Fitness value. Viedo Link:  https://youtu.be/Yxy0kszRzdY Sparrow Search Algorithm Steps Step 01: Initialize Sparrows population Randomly & its Parameters.  Step 02: Calculate fitness values for each agent.  Step 03: Update Sparrow Location for Producers and Scroungers in the search space.  Step 04 : Update Current New Location. Step 05 : If New Location is Better than before. [Update it] Step 06 : Increment Counter i.e., t = t + 1. [until condition satisfy (t<MaxT)]. Step 07: Return Current Best Position (š‘‹_šµš‘’š‘ š‘”) and Fitness Value (š‘“_š‘”).  New Optimization Algorithm 2021 #SSA #Sparrowsearchalgorithm #OptimizationAlgorithm  #Metaheuristic #Algorithms ...
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