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Hello, Success rate is heavily influenced by algorithm selection, problem complexity, and parameter tuning. It's all about finding the right balance!

Hello, We have a total 9 pixels here. n is 0 to 7 (i.e., 0,1,2,3,4,5,6,7 = Total 8 Pixels) + We have 1 Center Pixel Check the recent video: Multi-Block Local Binary Pattern || Calculate Corner Pixel Values || th-cam.com/video/o8qfJWQ_FG0/w-d-xo.html

Contact: researchpixy73@gmail.com

Glad you found it helpful!

Hello, Check Part 2 Firefly Algorithm Step-by-Step with Numerical Example [PART - 2]~xRay Pixy th-cam.com/video/bPLO44-r5tY/w-d-xo.html Firefly Algorithm In Python || Step-By-Step || ~xRay Pixy th-cam.com/video/hMYC_le_3Rk/w-d-xo.html

@RitikaxRayPixy Thank you

Key Notes: codebypixy.blogspot.com/2024/11/aco-in-hindi-xray-pixy.html

@@RitikaxRayPixy tysm Ma'am

Thanks for watching! 😊

Thanks for watching!

Welcome 😊

c1 and c2 range from 1.5 to 2.5 (for stability c1+c2 <= 4) and w between 0.5 and 0.9.

Ant Colony Optimization Numerical Example Step-By-Step ~xRay Pixy th-cam.com/video/LkhSDKbQJ1g/w-d-xo.html

lbro it will take around 10000 decades.

Ant Colony Optimization Numerical Example Step-By-Step ~xRay Pixy th-cam.com/video/LkhSDKbQJ1g/w-d-xo.html

Run the program in simulator else human will take decade for sure :)

Hello, we can guide you. Contact: researchpixy73@gmail.com

@@RitikaxRayPixy ok

Hello, Source code link is give below in description. Here this is for Function: Particle Swarm Optimization Function File: Sphere(x) function F1 = Sphere(x) F1 = sum(x.^2); end

@RitikaxRayPixy Thanks for the prompt response.

This is done for consistency and systematic traversal of neighboring pixels and also ensures uniformity in extracting directional features from the image.

Glad you liked it!

You're very welcome!

Check this link fir AIML: AIML Tutorial www.tutorialspoint.com/aiml/index.htm

Its already covered. Please Check Metaheuristics Performance Comparison | PSO vs JAYA Algorithm | ~xRay Pixy th-cam.com/video/txyWqCJZqM8/w-d-xo.html

Hello, we can use the standard benchmark test function to check the new algorithm's performance. To benchmark two algorithms: Run each algorithm on various test functions multiple times (e.g., 30-50 runs) to capture performance metrics like Best Solution, Average Solution Quality, and Convergence Rate. Use statistical tests (like t-tests) to compare their Means and Determine if performance differences are significant.

@@RitikaxRayPixy thanks a lot, if any video in steps like your videos ,please

Its already covered. Please Check Metaheuristics Performance Comparison | PSO vs JAYA Algorithm | ~xRay Pixy th-cam.com/video/txyWqCJZqM8/w-d-xo.html

Yes, you can study AI and ML with a commerce background. Start by learning programming (Python) then take AI/ML courses to practice skills.

@RitikaxRayPixy mam AI / ML ye 2 no alag alag course hai kya

AI: Artificial Intelligence ML: Machine Learning AIML: Artificial Intelligence Markup Language ( It is XML-based language created to develop natural language processing (NLP) applications)

WOA CODE - Whale Optimization Algorithm Code Implementation ~xRay Pixy th-cam.com/video/iBGULJfsR9M/w-d-xo.html

Here we can do Real-time updates on obstacle locations, collision avoidance in fitness evaluations, and penalizing paths close to moving obstacles. We will cover this soon in future video.

Define your objective function according to your warehouse dimensions and box types.

I've done it. What do I do next?​@@RitikaxRayPixy

How to solve?

Check your code for any syntax errors or missing files.

Thank you so much! 😊

Hello, This code is not final. In end we discuss different limitations of this code that need to be improved for accurate results. We tried different ways and check the results. When we shown changing the marker size or the line width. This means if you want you can change color, line-width and others. For better results, you can add intermediate points along each path segment. Also check their distance from obstacles, and adjust the path accordingly.

Okay, thanks but do you have any idea of why the first update in path point is always extremely far from the start, I know it’s in the fitness function which gives such values Thanks again

We tried different ways and check results. In 2nd GWO not applied. We working on it making it something different. Will upload soon video on it.

Glad you enjoyed it!

Hello, This is The Sphere function (i.e., classic mathematical benchmark function) x_i represents the i-th component of the vector x. Here, we have 4 particles (so, i = 1,2,3,4) ​

@@RitikaxRayPixy Yes, x_i represents the i-th component of the vector x. Therefore, in my understanding, a particle should have the dimensionality of the vector x. Here, a particle has dimension=1, a real number. I wonder if I missed something here.

For simplicity we just consider 1d. You can adjust here Objective function according to your problem. Or you can check this video here another function is used Find Maxima of Function using PSO Method || Numerical Example || ~xRay Pixy th-cam.com/video/sTLSz9AB-H4/w-d-xo.html

@@RitikaxRayPixy Thank you very much!

Hello, you can check main research paper. BAT ALGORITHM || PYTHON CODE || ~xRay Pixy th-cam.com/video/wZVIOhNjGg4/w-d-xo.html

Coming soon! 😊

Thanks for your feedback! 😊 Check this recent video Multi-Block Local Binary Pattern || Calculate Corner Pixel Values || th-cam.com/video/o8qfJWQ_FG0/w-d-xo.html

Sure, will consider it 😊

Black Widow Optimization (BWO) Algorithm th-cam.com/video/oL8imKfdeiA/w-d-xo.html

Sure, I will consider this for my future videos 😊

Thank you so much! 😊

You're welcome 😊

Sure, will consider it! HappyLearning 😊

Yes, soon :)

Hello, Please check Find Maxima of Function using PSO Method || Numerical Example || ~xRay Pixy th-cam.com/video/sTLSz9AB-H4/w-d-xo.html Particle Swarm Optimization (PSO) |Part - 2| with Numerical Example and Source Code ~xRay Pixy th-cam.com/video/Dds5CQGwxlM/w-d-xo.html

@@RitikaxRayPixy Thank you for your answer. I have seen two videos, but I think there is something else in this video. When defining the formula, when solving the example of random velocity and x, you used a different index for v. Also, for t, I just don't understand this, and if not, I understand completely. This algorithm. I don't know how the formula used in the example matches with the formula you said in the explanation??

Okay, please show video time where you getting difficulty in which step

@@RitikaxRayPixy This time 11:42 you said the formulas But in this example 19:05 , you changed the formula a little and inserted it

Oh this bit error, consider 19:05 as the accurate one. Plus you can also follow research paper for more details :)