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ACO in Hindi ~xRay Pixy

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ACO in Hindi Learn Ant Colony Optimization Algorithm (ACO) in Hindi. Video Chapters: ACO Algorithm 00:00 Introduction 00:27 Topics Covered 00:53 About Ant Colony Optimization 01:07 ACO Applications 01:57 ACO Inspiration  07:06 Real Ants Simulation as Artificial Ants 10:00 ACO Mathematical Models 10:26 ACO Steps 19:09 Conclusion #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python
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Loop Optimization Techniques in Compiler Design

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LOOP Optimization

Rules Every Programmer must follow before the optimization of any source code. 
1.) Loop transformation technique. 
2.) Help to reduce optimize the execution time of a program.
3.) Basically, remove the iterations. 
4.) Loop Unrolling increase the program speed by eliminating loop control instructions.

Loop Optimization is a Machine Independent Technique. We can do Code optimization in the loops of the program. In loop optimization, code optimization is performed on inner loops.

Methods of Loop Optimization
1.) Code Motion
2.) Loop Invariant Method
3.) Loop Jamming
4.) Loop Unrolling
5.) Strength Reduction
Code Motion: Technique that moves the code outside the loop.
Loop Jamming: Combining two or more loops in a single loop.
Code Strength: Expressions that consumes CPU time and memory should replace with cheaper expressions. Replace Expensive Expressions (i.e., *) with cheaper ones (i.e., +)

Vidoe: https://youtu.be/1cSnmjRPRTA
Loop Optimization Technique in Compiler Design

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PARTICLE SWARM OPTIMIZATION ALGORITHM NUMERICAL EXAMPLE

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Cuckoo Search Algorithm for Optimization Problems

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how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example

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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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Bat algorithm Explanation Step by Step with example

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Grey Wolf Optimization Algorithm

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 Grey Wolf Optimization Algorithm  (GWO) Grey Wolf Optimization Grey Wolf Optimization Algorithm is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. Grey Wolf Optimizer is inspired by the social hierarchy and the hunting technique of Grey Wolves. What is Metaheuristic? Metaheuristic means a High-level problem-independent algorithmic framework (develop optimization algorithms). Metaheuristic algorithms find the best solution out of all possible solutions of optimization. Who are the Grey Wolves? Wolf (Animal): Wolf Lived in a highly organized pack. Also known as Gray wolf or Grey Wolf, is a large canine. Wolf Speed is 50-60 km/h. Their Lifespan is 6-8 years (in the wild). Scientific Name: Canis Lupus. Family: Canidae (Biological family of dog-like carnivorans). Grey Wolves lived in a highly organized pack. The average pack size ranges from 5-12.  4 different ranks of wolves in a pack: Alpha Wolf, Beta Wolf, Delta Wolf, and Omega Wolf. How Grey Wolf Optimization Algorithm
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Grey Wolf Optimization Algorithm Numerical Example

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Whale Optimization Algorithm Code Implementation || WOA CODE || ~xRay Pixy

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