**Explain Basic Flow of Particle Swarm Optimization and Compare PSO & G.A (Genetic Algorithm).**This text addresses the fundamental structure and principles of the Particle Swarm Optimization (PSO) method. It also suggests a comparison between PSO and Genetic Algorithms (G.A), both of which are computational methods used for solving optimization problems. (Note: The image contains a typographical error, "Optimizationfes" should likely be "Optimization.")

Genetic algorithms are methods of solving constrained and unconstrained optimization problems based…

Answered: Explain Basic flow of Particle Swarm…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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**Explain Basic Flow of Particle Swarm Optimization and Compare PSO & G.A (Genetic Algorithm).**

This text addresses the fundamental structure and principles of the Particle Swarm Optimization (PSO) method. It also suggests a comparison between PSO and Genetic Algorithms (G.A), both of which are computational methods used for solving optimization problems.

(Note: The image contains a typographical error, "Optimizationfes" should likely be "Optimization.")

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Genetic algorithm

Genetic algorithms are methods of solving constrained and unconstrained optimization problems based on natural selection, the process that drives biological evolution.
A genetic algorithm iteratively modifies the population of a single solution.

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