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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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All Members-Based Optimizer (AMBO) || STEP-BY-STEP || ~xRay Pixy

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All Members-Based Optimizer (AMBO)


Learn All Members-Based Optimizer Step-by-Step with Examples.
Algorithm Type: Metaheuristic Optimization Technique
Algorithm Main Idea: Make more use of the Population Matrix.
Tested on Different Benchmark Test Functions.
Algorithm Performance: Provide Better results in comparison with different metaheuristic optimization algorithms.
Used for Solving Optimization Problems.

ALGORITHM MAIN IDEA

Make use of the Population Matrix and All Members can play role in Updating Algorithm Population.

ALL MEMBERS-BASED OPTIMIZER STEPS

STEP 01: Initialize Algorithm Important Parameters. STEP 02: Initialize Population Randomly in the Search Space. STEP 03: Evaluate Initial Population using the Fitness Function. STEP 04: Check While (Current Iteration < Maximum Iteration) Do STEP 05: Update Members Position and Best Member Position. STEP 06: Update Population Members using STAGE 01. STEP 07: Update Population Members using STAGE 02. STEP 08: Save Best Solution in the Memory. STEP 09: Increment Counter. STEP 10: Best Solution Found.

ALL MEMBERS-BASED OPTIMIZER FLOWCHART



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