Posts

Showing posts from July 1, 2020

New Post

Nash Equilibrium In Game Theory ~xRay Pixy

Image
 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 ...

GREY WOLF OPTIMIZATION

Image
GREY WOLF OPTIMIZATION ALGORITHM - GREY WOLF OPTIMIZER Q. What is the Grey Wolf Optimization Algorithm? A. GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of grey wolves. Q. Who is the Grey Wolf? A.  Also known as Grey Wolf / Gray Wolf. [Large Canine and Longer Tail]. Q. Explain the Grey Wolf Hierarchy? A. The first  level of Grey wolf Hierarchy is ALPHA WOLF. Alpha wolf is responsible for Making Decisions about Hunting, Sleeping places, time to wake up, and others. The second level of the Grey wolf Hierarchy is Beta WOLF. The best candidate to be Alpha Wolf. Beta Wolf helps the Alpha wolf in decision making and other activities. Beta wolf gives feedback to Alpha Wolf. The third Level If the wolf is neither Alpha, Beta, nor Omega then it is a Delta Wolf. Delta wolf Dominate Omega Wolf. Delta wolf works for the pack in case of any danger. They provide food to th...
More posts