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Bermuda Triangle Optimizer

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VIDEO LINK The Bermuda Triangle Optimizer (BTO) is a nature-inspired algorithm that simulates a gravity-like pull in the Bermuda Triangle to find optimal solutions. Learn Bermuda Triangle Optimizer (BTO) Step-By-Step using Examples. Video Chapters: Bermuda Triangle Optimizer (BTO) 00:00 Introduction 00:34 About the Bermuda Triangle 02:06 Bermuda Triangle Optimizer  05:44 BTO STEPS 09:30 BTO Advantages 10:17 BTO Limitations 10:42 BTO Applications 11:07 Conclusion Bermuda Triangle Optimizer || Step-By-Step || ~xRay Pixy Video Link:  https://youtu.be/bBnsd7BBttg #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python #optimizationproblem #optimizationalgorithms 
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GWO In Hindi || Step-By-Step|| ~xRay Pixy

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Learn Grey Wolf Optimizer Step-by-Step using examples in Hindi. Video Chapters: Grey Wolf Optimizer 00:00 Introduction 00:47 Topics Covered 01:28 Grey Wolf Real-life Behavior 04:35 GWO Simulation 09:36 GWO Step-By-Step 16:50  GWO Applications 17:07 GWO Advantages 17:22 GWO Disadvantages 17:29 Conclusion Grey wolves, in the wild, have a natural ability to locate prey and encircle it during a hunt. This process is led by the alpha wolf , with occasional help from the beta and delta wolves . The remaining wolves (omegas) follow the leaders' guidance. In optimization problems, however, the location of the optimal solution (the "prey") is unknown. To mimic this behavior in the Grey Wolf Optimizer (GWO), we make some assumptions: Alpha, beta, and delta are considered the top three best solutions found so far. These three "leader wolves" guide the movement of all other solutions (search agents or omegas). Grey Wolf Optimizer (GWO) is directly inspired by the social ...
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