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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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What is Fitness Value in Optimization? || Metaheuristic Optimization Alg...

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What is Fitness Value in Optimization Algorithms?  Video Chapters: Fitness Values in Optimization 00:00 Introduction 00:56 Algorithms Inspiration 03:05 Metaheuristic Algorithms 03:30 Metaheuristic Algorithms Steps 04:44 Calculate Fitness Values 07:45 Example 1 Find the Maxima of a Given Function using a Genetic Algorithm 11:09 Example 2 Find Maxima of Given Function using Genetic Algorithm 13:37 Outro
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What is Swarm Intelligence ? || ACO | PSO | ABC || ~xRay Pixy

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Learn What is Swarm Intelligence? Video Chapters: Swarm Intelligence 00:00 Introduction 01:01 Swarm Intelligence Features 01:42 Swarm Intelligence Algorithms 02:17 Swarm Intelligence Example 01 05:49 Swarm Intelligence Example 02 17:23 Swarm Intelligence Real Life Applications 08:37 Swarm Intelligence Example 03  11:03 Swarm Intelligence Advantages 12:26 Outro
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Struggling with Research? Let's Make It Easy ~xRay Pixy

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Are you "Struggling with Research? Let's Make It Simple!" Video Chapters:  00:00 Introduction 00:57 Choose Research Area 01:57 Clarify Research Goals 03:58 Ask For Guidance from Mentor 04:37 Time Management 05:10 Learn Research Skills 06:09 Stay Organized 06:55 Learn New Concepts 07:09 Ask for Feedback 07:30 Maintain Ethical Standards 08:05 Review Existing Work 08:24 Define Research Objectives 08:41 Formulation 08:19 Data Collection 09:50 Analyze Results 10:06 Write Research Paper 10:23 Thesis Writing 10:37 Review Research Work 10:52 Presentation Time 11:16 Publish Your Research Work 11:27 Tools for Research Work  14:11 Outro
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Levy Flights In Metaheuristic Optimization Algorithms ~xRay Pixy

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Learn how to use Levy Flights in Metaheuristic Algorithms Step-By-Step Video Chapters: LF in Optimization Algorithms 00:00 Introduction 00:38 Levy Flights Basic 01:32 How Levy Flights Work? 07:03 Levy Flights Step Size Calculation 08:51 Random Number Implementation using Levys Flight 10:10 Levy Flights In Metaheuristics 11:02 Apply Levy Flights in Metaheuristics 12:24 Levy Flights Based Algorithms 13:30 Levy Flight-Based Particle Swarm Optimization 13:39 Levy Flight-Based Cuckoo Search Algorithm 13:57 Levy Flight-Based Firefly Algorithm 14:18 Levy Flight-Based Bat Algorithm 14:31 Levy Flight-Based Flower Pollination Algorithm 15:17 Conclusion 15:54 Outro
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