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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 ...

Mayfly Optimization Algorithm Step-by-Step Learning ~xRay Pixy

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Mayfly Optimization Algorithm Learn Mayfly Optimization Algorithm Step-by-Step with Example. Mayfly optimization algorithm is inspired by mayfly flight behavior and mating process. We can use this algorithm to solve single objective optimization problems and multi objective optimization problems. Mayfly Optimization Algorithm Video Chapters: Introduction: 00:00 Mayfly behavior, Life Cycle: 01:27 Single Objective Mayfly Optimization Algorithm: 03:25 Mayfly Optimization Algorithm Steps: 04:35 Update Mayflies Position and Velocity: 06:25 Mate the Mayflies: 11:27 Conclusion: 13:43 Mayfly optimization Algorithm is developed by Zervoudakis K. and Dr. Tsafarakis S. Mayfly optimization Algorithm is inspired by the flight behavior and mating process of mayflies. Mayfly optimization Algorithm is modification of Particle Swarm Optimization (P.S.O). It use the key advantages of Swarm Intelligence Algorithms and Evolutionary Algorithms and form Hybrid Algorithmic Structure . Mayfly optimiz...
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