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GWO In Hindi || Step-By-Step|| ~xRay Pixy

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Learn Grey Wolf Optimizer Step-by-Step using examples in Hindi. Video Chapters: Grey Wolf Optimizer 00:00 Introduction 00:47 Topics Covered 01:28 Grey Wolf Real-life Behavior 04:35 GWO Simulation 09:36 GWO Step-By-Step 16:50  GWO Applications 17:07 GWO Advantages 17:22 GWO Disadvantages 17:29 Conclusion Grey wolves, in the wild, have a natural ability to locate prey and encircle it during a hunt. This process is led by the alpha wolf , with occasional help from the beta and delta wolves . The remaining wolves (omegas) follow the leaders' guidance. In optimization problems, however, the location of the optimal solution (the "prey") is unknown. To mimic this behavior in the Grey Wolf Optimizer (GWO), we make some assumptions: Alpha, beta, and delta are considered the top three best solutions found so far. These three "leader wolves" guide the movement of all other solutions (search agents or omegas). Grey Wolf Optimizer (GWO) is directly inspired by the social ...

JAYA Optimization Algorithm Step-by-Step with Example |Metaheuristic Alg...

Jaya Algorithm || JAYA OPTIMIZATION ALGORITHM
 
Jaya: An Advanced Optimization Algorithm.
Video Timestamp's: Basic Introduction: 00:00 JAYA Algorithm Example: 00:55 JAYA Algorithm Application Areas: 05:07 JAYA Algorithm Mathematical Model: 05:25 JAYA Algorithm Pseudocode: 07:56

JAYA Algorithm is very simple and new optimization algorithm used for solving constrained and unconstrained optimization problems. It is Simple, Unique and Powerful Optimization Algorithm.

JAYA algorithm is introduced by R.V. Rao in 2016. JAYA is a SANSKRIT word it means VICTORY. That's why this algorithm always tries to get closer to the source (i.e., reaching the BEST Solution) and at the same time tries to avoid the WORST Solution. All values at the end of iteration are maintained and these values become the INPUT to the next iteration. JAYA Algorithm is simpler than TLBO (Teaching Learning Based Optimization) algorithm. Author also compared this algorithm with latest approaches and found JAYA algorithm at RANK 01 for BEST and MEAN solution for different Constrained Problems.

JAYA Algorithm KEY CONCEPT: It is based on the concept that solution obtained for any given problem should move towards the BEST Solution and should avoid WORST Solution.

ADVANTAGES: Using JAYA optimization algorithm we can solve different Engineering Design Problems, Constrained and Unconstrained optimization problems. We can use this algorithm in different research areas such as: Economic Load Dispatch Problems, Optimal Power Flow Solution, In Linear Power System (to find interconnection), In Modern Matching Process, and Optimization Heat Exchanger.

JAYA Algorithm : PSEUDOCODE Initialize Parameters [JAYA Algorithm, Optimization Problem Initialize Population Size (N) Randomly. Calcuate Fitness Values for each candidate. Sort the Population (Best and Worst Soltuion respectively). Set Current_Iteration = 1 Check While (Current_Iteration <= Maximum_Iteration) For i = 1,2,...,N do For j = 1,2,...,D do Set r1, r2 [0,1]. Using Equation update values for each candidate. End For If (New Solution)<=(Old Solution) Update Solution. End If End For Current_Iteration = Current_Iteration + 1. End While

JAYA Optimization Algorithm Step-by-Step with Numerical Example 


JAYA ALGORITHM Numerical Example

Step 01: Initialize the Algorithm Parameters. Suppose, Population Size = 05; Design Variable = 02; Maximum Iteration = 06; LB = -100, UB =100; Step 02: Initialize Population for 5 individuals.

Step 03: Using Cost Function Calculate the Fitness values for each individual.
Here, sphere function is used for the Cost Calculation.

Step 04: Select Best and Worst Solution in current population.
Step 05: Update Current Solution [Position, Fitness Values].
Step 06: Compare New Solution with Old Solution and Replace if New solutions are better else no change. Step 07: Find out Best and Worst Solution among all.


Step 08: Increment counter. If stopping criteria is not satisfy repeat loop. Step 09: Display Best Solution obtained.



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