Particle-Swarm-Optimization-and-FM-FM-1-WV-Retrial-1-Queues-with-Catastrophes

Introduction

This repository contains optimizing cost efficiency in cloud storage systems by applying particle swarm optimization of the Markovian retrial queueing model using MATLAB.

Overview

• Goal: Optimize cost values with service rates \mu_{1} & \mu_{2}.
• Optimumizw:
  • Objective function TC.
  • Service rates
  • Improved convergence speed.

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Instructions

1. Run the Code:

• Run Main_file.m in MATLAB.

3. Parameters:

• MaxIt = 100: Maximum iterations.
• nPop = 70: Population size.

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Results

Results are saved as Excel files:

• Cost TC
• Service rate
• Convergence

Plot

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Requirements

MATLAB Version:

• MATLAB R2021a or later is recommended.

Toolboxes Required:

• Statistics and Optimization Toolbox:
  • Functions like pdist2 and normalization utilities.

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