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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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Harmony Search Algorithm Numerical Example | Step-By-Step |~xRay Pixy

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Harmony Search Algorithm


Video Chapters: Introduction: 00:00 Harmony Search Algorithm: 01:00 Harmony Search Algorithm Example 1: 04:00 Harmony Search Algorithm Numerical Example 2: 07:26 Harmony Search Algorithm Numerical Example 3: 11:36 Conclusion: 15:00

How does harmony search algorithm work?

Harmony Search Algorithm (HSA) is introduced by Zong Woo Geem and Joong Hoon Kim in 2001. Harmony Search is a music inspired optimization algorithm. Harmony Search Algorithm is basically inspired by the Music Harmony.

Music Harmony refers to the relationship between sound waves coming either from musical instruments or human voices. It is the process by which individual sounds are joined together simultaneously. It is the combination of sound pitches in the music. Pitch is an aspect of sound that we can hear. Through pitch we can check weather sound is High or Low than other musical sound.

Harmony Search Algorithm Main Rules: Musician has 3 choices
  1. Play Famous piece of Music (i.e., known).
  2. Play something similar to the famous piece of Music.
  3. Compose New Music.
Harmony Search Algorithm Steps:
  1. Initialize algorithm parameters such as Harmony Memory, Maximum Iterations, Pitch Adjustment Rate, Harmony Adjustment Rate and Band Width.
  2. Construct initial harmony randomly.
  3. Select Best and Worst Harmony in the harmony memory.
  4. Check While (current iteration <= Maximum Iteration)
  5. Harmony Memory Generation.
  6. Pitch Adjustment.
  7. Update Harmony [harmony replacement after comparison).
  8. Return best harmony as optimal solution.

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