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Poplar Optimization Algorithm || Step-By-Step || ~xRay Pixy

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The Poplar Optimization Algorithm (POA) is a nature-inspired optimization method based on how poplar trees reproduce. It uses sexual propagation (seed dispersal by wind) for exploration and asexual reproduction (cutting and regrowth) for exploitation. Mutation and chaos factors help maintain diversity and prevent premature convergence, making POA efficient for solving complex optimization problems. Learn the Poplar Optimization Algorithm Step-By-Step using Examples. Video Chapters: Poplar Optimization Algorithm (POA) 00:00 Introduction 02:12 POA Applications 03:32 POA Steps 05:50 Execute Algorithm 1 13:45 Execute Algorithm 2 16:38 Execute Algorithm 3 18:15 Conclusion Main Points of the Poplar Optimization Algorithm (POA) Nature-Inspired Algorithm ā€“ Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) ā€“ Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) ā€“ Strong branches grow ...
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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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