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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 – Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) – Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) – Strong branches grow ...
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Black Hole Optimization Algorithm Step-by-Step with Example ~xRay Pixy

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 Black Hole Optimization Algorithm || BHO Algorithm The black hole algorithm is a Natural Heuristic Algorithm by simulating the ‘‘Black Hole’’ phenomenon in the universe.  Black Hole Optimization Algorithm is a new bio-inspired metaheuristic approach based on the observable fact of black hole phenomena. Black Hole : Region in the space where Gravity is so Strong. No object can escape from its powerful gravitational pull. Black holes are formed in the  space when star of massive size collapses. Anything falls into black hole is forever gone from our universe. Black Hole Optimization Algorithm Steps: Step 01: Randomly Initialize population for N candidate solutions in the search space. Consider Stars as initial population and each start is candidate solution. And Best  Candidate among all (i.e., Best Solution) is considered as Black Hole. Step 02: Calculate Fitness Values for each agent in the current population. Calculate fitness values for each candidate and best am...
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