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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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Sparrow Search Algorithm: New Optimization Algorithm 2021

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 Sparrow Search Algorithm

Sparrow Search Algorithm is inspired by the foraging behaviors of Sparrows.

2 Types of Sparrow according to their roles in foraging: 

Producers (they collect food from different sources)

Scroungers ( obtain food discovered by producers )

OUTPUT: Best Position and Fitness value.


Viedo Link: https://youtu.be/Yxy0kszRzdY

Sparrow Search Algorithm Steps

Step 01: Initialize Sparrows population Randomly & its Parameters. 
Step 02: Calculate fitness values for each agent. 
Step 03: Update Sparrow Location for Producers and Scroungers in the search space. 
Step 04 : Update Current New Location.
Step 05 : If New Location is Better than before. [Update it]
Step 06 : Increment Counter i.e., t = t + 1. [until condition satisfy (t<MaxT)].
Step 07: Return Current Best Position (𝑋_𝐵𝑒𝑠𝑡) and Fitness Value (𝑓_𝑔). 

New Optimization Algorithm 2021
#SSA
#Sparrowsearchalgorithm
#OptimizationAlgorithm 


#Metaheuristic #Algorithms
Meta-heuristic Algorithms

Link - Click Here

Comments

  1. Unknown23 May 2021 at 03:45

    Mam please explain squrriel search algorithm, water cycle algorithm

    ReplyDelete

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