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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 ...

Shark Smell Optimization Algorithm Numerical Example

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SHARK SMELL OPTIMIXATION ALGORITHM [ Numerical Example ] Shark Smell Optimization Algorithm is population based Metaheuristic optimization algorithm. Shark Smell Optimization Algorithm is inspired by the Shark food foraging behavior.   Shark Smell Optimization Algorithm Steps: Initialize Algorithm Parameters Initialize Population for N Sharks in the search space. Evaluate Performance. While (current Iteration < Maximum Iteration) Calculate Shark Velocity Calculate Shark Position based on forward movement. Calculate Shark Position based on rotational movement. Identify Shark next position based on forward and rotational movements. Evaluate Performance. End While Display Best Solution. STEP 01: Initial Important Parameters.          Current_Iteration =1;          Maximum_Iteration = 10;          and other. STEP 02: Initial Population Randomly. Suppose, Population Size = 2; Position(1) = -0.9891 Positi...
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