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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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TURTLE GRAPHICS USING PYTHON || Turtle Star || 08 || ~xRay Pixy

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TURTLE GRAPHICS USING PYTHON || Turtle Star || 08 ||  STEPS Python Turtle Graphics Design First Import Turtle Here, variable r is considered a Turtle. Set Turtle Speed. Set Line Width. Set Background Color as while.  Select Colors for the Design. Create a List of Colors. For Loop Initialization. Access Colors from the List inside Loop. Set Direction for Turtle. SOURCE CODE import turtle r = turtle.Turtle() r = turtle.Pen() r.speed(1000) r.width(2) turtle.bgcolor('white') c = ['blue','lime','red','black','gold','aqua','purple','silver'] for x in range (600):     r.pencolor(c[x%8])     r.forward(x)     r.right(160) r.done() OUTPUT
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