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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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Hybrid Teaching Learning Based Optimization and Harmony Search | Hybrid TLBO-HS|

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Hybrid Teaching Learning Based Optimization and Harmony Search Hybrid TLBO-HS Video Chapters: Introduction: 00:00 Metaheuristics Hybridization: 00:40 Hybrid TLBO-HS: 02:43 Hybrid TLBO-HS Steps: 05:17 Conclusion: 11:30
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Hybrid Grasshopper Optimization Algorithm with Genetic Algorithm

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Hybrid Grasshopper Optimization Algorithm and Genetic Algorithm GOA-GA Hybrid Metaheuristics Video Chapters: Introduction: 00:00 Hybrid Metaheuristics: 01:11 Metaheuristic Hybridization Types: 02:47 Hybrid Grasshopper Optimization Algorithm - Genetic Algorithm: 04:06 Hybrid Grasshopper and Genetic Algorithm Steps: 08:54 Conclusion: 13:00 Hybrid methods are powerful as compared to others. Suppose, we have 2 Algorithms: Algorithm A and Algorithm B . Now suppose we merge the merits of both algorithms and formed Hybrid A-B Algorithm. New Algorithm i.e., Hybrid A-B Algorithm is better as compared to Algorithm A or Algorithm B. Metaheuristics Hybridization Types: Metaheuristic with Metaheuristic. Metaheuristic with Exact Methods. Metaheuristic with Constraint Programming, Artificial Intelligence. Metaheuristic with Data Mining and Machine Learning Techniques. Hybrid Grasshopper Optimization Algorithm and Genetic Algorithm |Hybrid G.O.A - G.A.| Hybrid GOA-GA is a combination of 2 Meta-h...
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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: Ocean Current ( Horizontal Movement and Vertical Movemen t). Jellyfish Motion inside Swarm ( Passive Motion and Active Motion ). Time Control mechanism is used to switch jellyfish ...
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