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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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GREY WOLF OPTIMIZATION

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GREY WOLF OPTIMIZATION ALGORITHM - GREY WOLF OPTIMIZER
Q. What is the Grey Wolf Optimization Algorithm?
A. 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.

Q. Who is the Grey Wolf?
A. Also known as Grey Wolf / Gray Wolf. [Large Canine and Longer Tail].

Q. Explain the Grey Wolf Hierarchy?
A. The first level of Grey wolf Hierarchy is ALPHA WOLF. Alpha wolf is responsible for Making Decisions about Hunting, Sleeping places, time to wake up, and others. The second level of the Grey wolf Hierarchy is Beta WOLF. The best candidate to be Alpha Wolf. Beta Wolf helps the Alpha wolf in decision making and other activities. Beta wolf gives feedback to Alpha Wolf. The third Level If the wolf is neither Alpha, Beta, nor Omega then it is a Delta Wolf. Delta wolf Dominate Omega Wolf. Delta wolf works for the pack in case of any danger. They provide food to the pack. Lowest ranking Grey wolf is Omega WOLF. 

Q. Explain the Grey Wolf Algorithm With Example Step-by-Step?
A. In this video, [video link = https://youtu.be/mmSat8WEgCA ]. I explained the Grey Wolf Optimization Algorithm Step-by-Step with example. 
 

---------------------------Topics Covered in this Video------------------------------- 1.) What is the Grey wolf Optimization Algorithm? 2.) Who are the Grey Wolves? 3.) How Grey Wolf Optimization Algorithm Works? 4.) Mathematical Model of Grey Wolf Optimization Algorithm. 5.) Grey Wolf Optimization Algorithm and its Flowchart. 6.) Explanation of Grey Wolf Optimization Algorithm with Example. 7.) Applications of Grey Wolf Optimization Algorithm

Q. Applications of the Grey Wolf Optimization algorithm.
A. For Complex Optimization Problems. 
      Utilized for optimizing key values in cryptography algorithms.
      Used as training algorithm for Multi-layer perceptron. 
      Used for Solving Economic Dispatch Problems.

 #happyLearning #xraypixy

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