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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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Remora Optimization Algorithm Step-by-Step Learning with Example ~xRay Pixy

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Remora Optimization Algorithm (ROA)


Remora Optimization Algorithm (ROA) is recently proposed Bionics based, Nature Inspired Metaheuristic Optimization Algorithm used to solve Global Optimization Problems. Remora Optimization Algorithm is proposed by Heming Jia, Xiaoxu Peng and Chunbo Lang in 2021. Remora Optimization Algorithm is basically inspired by the Parasitic features of remora and Random Host Replacement of remora. Remora use suction technique for their survival. They attached themselves to the host animals such as Whales, Sea Turtles, Sharks, Swordfish and other. They use their suction disk to easily attach themselves with host.

Remora clean host body from Parasites, Bacteria's, and in return they get their food for survival. They also eat the leftover food from their host. In ROA, Whale Optimization Algorithm and Swordfish Optimization Algorithm is used to update remora position in the search space. In ROA, the fusion framework is used by switching between Remora and two host (Whale, Swordfish). Remora follow 2 host Whale and Swordfish in this algorithm.
Remora Optimization Algorithm Advantages:
  • Solve Global Optimization Problems.
  • Better as compare to heuristic algorithms.
Remora Optimization Algorithm Limitations:
  • Slow Convergence Rate.
  • Poor Solution Accuracy.
  • For some engineering problems stuck in local optima.
Remora Optimization Algorithm Steps:
  • Initialize population for N remora.
  • Using fitness function evaluate performance for each remora.
  • Find out the best and worst remora in the current population.
  • Update algorithm parameters.
  • Update Remora Position
  • Again evaluate performance for updated remoras.
  • Compare solution and display best among all.
  • Find out the best and worst remora in the current population.
  • Update algorithm parameters.
  • Update Remora Position.
  • Again evaluate performance for updated remoras.
  • Compare solution and display best among all.


Meta-heuristic Algorithms   CLICK HERE...

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