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Nash Equilibrium In Game Theory ~xRay Pixy

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 Video Link  CLICK HERE... Learn Nash Equilibrium In Game Theory Step-By-Step Using Examples. Video Chapters: Nash Equilibrium  00:00 Introduction 00:19 Topics Covered 00:33 Nash Equilibrium  01:55 Example 1  02:30 Example 2 04:46 Game Core Elements 06:41 Types of Game Strategies 06:55  Prisoner’s Dilemma  07:17  Prisoner’s Dilemma Example 3 09:16 Dominated Strategy  10:56 Applications 11:34 Conclusion The Nash Equilibrium is a concept in game theory that describes a situation where no player can benefit by changing their strategy while the other players keep their strategies unchanged.  No player can increase their payoff by changing their choice alone while others keep theirs the same. Example : If Chrysler, Ford, and GM each choose their production levels so that no company can make more money by changing their choice, it’s a Nash Equilibrium Prisoner’s Dilemma : Two criminals are arrested and interrogated separately. Each has two ...
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Jellyfish Search Optimizer Step-by-Step Leaning with Example ~xRay Pixy

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Jellyfish Search Optimizer (2020)


Video Chapters:
Introduction: 00:00
Jellyfish Search Optimizer: 00:26
About Jellyfish: 01:11
Jellyfish Search Optimize Steps: 06:37
Time Control Calculation: 10:50
Passive Motion: 11:59
Action Motion: 12:52
Ocean Current: 15:27
Conclusion: 16:31

Jellyfish: Sea Animals Without Backbone.
Jellyfish Size: 1-16 inch.
Jellyfish Lifespan: 1 Month / 1 Year depend on species.
Jellyfish Diet: Nutrients Plants, Planktons, Small Fishes, Fish eggs.

Jellyfish Search Optimizer is also known as artificial Jellyfish Search Optimizer. Jellyfish Search Optimizer is inspired by jellyfish food searching behavior in the ocean. We can use Jellyfish Search Optimizer to solve Global Optimization problems, Complex real world optimization problems and other.


Jellyfish movements are result due to:
  1. Ocean Current (Horizontal Movement and Vertical Movement).
  2. Jellyfish Motion inside Swarm (Passive Motion and Active Motion).
Time Control mechanism is used to switch jellyfish motion between Active Motion and Passive Motion.

Jellyfish Search Optimizer Steps:
  1. Initialize important parameters randomly.
  2. Initialize population for N individuals randomly.
  3. Check If (current Iteration<=Maximum iterations)
  4. For all Individuals. (i=1:N)
  5. Calculate Time control mechanisms. 
  6. Update position for N individuals. 
  7. Check updated solution boundary.
  8. Evaluate new solutions.
  9. Increment counter and check stopping criteria. 
  10. Display best solution found. 
STEP 05: Calculate Time control mechanisms c(t). 
MaxT = Maximum Number of Iterations
rand = random value (0,1)

STEP 06: Update position for N individuals. 
Jellyfish Motion updated using:
  1. Ocean Current
  2. Active Motion
  3. Passive Motion
How to Calculate Ocean Current?



How to Calculate Passive Motion?


How to Calculate Active Motion?










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