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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 

What is a meta heuristic algorithm for?

 Metaheuristic means a High-level problem-independent algorithmic framework that is developed for the optimization algorithm.

Metaheuristic algorithms find the best solution out of all possible solutions of an optimization.

I discussed some Meta-heuristic algorithm like:

Grey Wolf Optimization (GWO) Algorithm: GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of Grey Wolves

Bat Algorithm: The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behavior of microbats.

Cuckoo Search Algorithm: Cuckoo Search is a nature-inspired algorithm, based on the brood reproductive strategy of cuckoo birds to increase their population.

Meta-heuristic Algorithms

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