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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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Transient Search Optimization Algorithm || Step-By-Step || ~xRay Pixy

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Transient Search Optimization Algorithm || Step-By-Step || ~xRay Pixy Learn Transient Search Optimization Algorithm (TSOA) Step-by-step using examples. Video Chapters: TSO Algorithm 00:00 Introduction 00:44 Topics Covered 01:14 Transient Behavior 02:57 Transient Search Optimization Algorithm 06:10 TSOA Mathematical Models 10:30 TSOA Step-By-Step 15:32 TSOA Applications 15:58 TSOA Advantages 16:22 TSOA Disadvantages 16:28 Conclusion Transient Search Optimization Algorithm (TSOA) is a metaheuristic optimization technique inspired by the concept of transient behavior in physical or natural systems. In simple terms, it mimics how certain systems, like electrical circuits or natural phenomena, go through temporary changes (called transients) before settling into a stable state. What Happens in Electrical Circuits with Inductance and Capacitance? When you switch on or off a circuit containing inductors and capacitors, it doesn’t immediately settle into its final, stable state. Instead, it ...
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Vehicle Routing Problem (VRP) ~xRay Pixy

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V ehicle R outing P roblem Learn Vehicle Routing Problems Step-By-Step using Examples. Video Chapters: Vehicle Routing Problem (VRP) 00:00 Introduction 00:18 VRP Example 00:52 VRP Variants 02:43 VRP Objective 03:20 VRP Component 06:06 VRP Graph Representation 05:13 VRP Challenge 05:51 TSP vs VRP 07:17 VRP Real-Life Situations 07:38 VRP Solving Rules 08:57 VRP Method 09:16 Metaheuristics for VRP 10:16 VRP Application Areas 10:24 Metaheuristics to solve VRP 11:39 Conclusion VEHICLE ROUTING PROBLEM  is a fundamental combinatorial optimization and integer programming problem in the fields of transportation, logistics, and operations research. It involves determining the most efficient routes for a fleet of vehicles to traverse in order to deliver goods or services to a set of customers, subject to various constraints. Objective: Minimize the Total Route Cost. While satisfying all Co Capacity Constraint Time Window Constraints VRP Basic Components Depot: The starting and ending point f...
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Black Widow Optimization (BWO) Algorithm || Step-By-Step || ~xRay Pixy

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Learn Black Widow Optimization Algorithm Step-By-Step using Examples. Video Chapters: BWO Algorithm 00:00 Introduction 00:14 Topics Covered 00:31 BWO Algorithm INSPIRATION 01:01 About Black Widow Spider 02:53 Black Widow Spider BEHAVIOR 03:21 BWO Algorithm STEPS 13:22 Conclusion
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ACO in Hindi ~xRay Pixy

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ACO in Hindi Learn Ant Colony Optimization Algorithm (ACO) in Hindi. Video Chapters: ACO Algorithm 00:00 Introduction 00:27 Topics Covered 00:53 About Ant Colony Optimization 01:07 ACO Applications 01:57 ACO Inspiration  07:06 Real Ants Simulation as Artificial Ants 10:00 ACO Mathematical Models 10:26 ACO Steps 19:09 Conclusion How ACO Works Ant Colony Optimization is inspired by how real ants find the shortest path to food. Ants deposit pheromones on paths they travel, and other ants tend to follow paths with stronger pheromone trails. Over time, this leads to finding the most efficient route.  To explain the Ant Colony Optimization (ACO) applied to the Traveling Salesman Problem (TSP) in a simple and concise way within 2 minutes, here's an approach: Introduction to TSP The Traveling Salesman Problem asks: "Given a set of cities, find the shortest route that visits every city exactly once and returns to the starting point." How ACO Works Ant Colony Optimization is ins...
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Python Code || Path Planning with Grey Wolf Optimization (GWO) ~xRay Pixy

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Learn how to implement an obstacle-avoiding path planning for a robot using the Grey Wolf Optimization (GWO) in a static environment. #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python
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