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Life Skills for Everyday Success ~xRay Pixy

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Life skills are the basic abilities we need to handle daily challenges and live a healthy, balanced life. They help us think clearly, manage our feelings, make good decisions, solve problems, and build good relationships with others. The World Health Organization (WHO) highlights 10 important life skills: 1.) Thinking skills: decision-making, problem-solving, creative thinking, critical thinking 2.) Social skills: communication, empathy, interpersonal skills 3.) Emotional skills: self-awareness, coping with emotions, coping with stress Life skills are the tools that make us stronger, wiser, and calmer in real life — at home, in school, at work, and in the community :) Life Skills for Everyday Success ~xRay Pixy https://youtu.be/AMsUfKRl4kw Video Chapters: Life Skills 00:00 Introduction 01:07 Life Skills 09:42 Real Life Challenge 13:44 Task For You #LifeSkills #SuccessTools #StressFreeLiving #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swa...
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Whale Optimization Algorithm for Association Rule Mining.

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 Whale Optimization Algorithm for association rule mining.

Input: Number of Maximum Iteration and Population Size, Minsupport, minconfedence. 

Step 01: Initialize the population size for n search agents.[Xi(i=1,2,3,...n)]

Step 02: Initialize i, A, C, L, and p.

Step 03: Compute the fitness value of each search agent/whale.

Step 04: X* = the best rule

Step 05: While (CurrentIteration <= MaximumIteration )

Step 06: Update a, A, C, L and p.

Step 07: For all whale poplation check

         if (p<0.5)

if(|A|<1)

   For each Item in the solution Xi.

   Update Items.

Else if(|A|=1)

    Select a random Item in Xi.

Update Items.

End if

       For each item in the solution Xi.

If the Item is odd, it belongs to the antecedent,

Otherwise, it belongs to the consequence.

End for

Step 08: Calculate the fitness of each search agent.

Step 09: Update X* if there is a better solution.

Step 11: Iteration = currentIteration + 1

Step 12:    End While

Step 13:    Return X*

1.)  WHALE OPTIMIZATION ALGORITHM - NUMERICAL EXAMPLE

LINK - https://youtu.be/kq1K3mdDZt0

                 2.)    WHALE OPTIMIZATION ALGORITHM - MATHEMATICAL MODEL

Click Here - > Watch Now

https://youtu.be/f7hvvDkLoHs

#Metaheuristic #Algorithms
Meta-heuristic Algorithms

Link - Click Here

Comments

  1. abedbenamar26 January 2025 at 01:54

    hello , thank you for your youtube videos ? could you send me the academic paper of whale swarm optimization where you took the mathematical expressions (abed.benamar@gmail.com) , thank you again

    ReplyDelete

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