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what is genetic algorithm?

A genetic algorithm is a heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection and evolutionary biology. Genetic algorithms are excellent for searching through large and complex data sets.

What is genetic algorithm used for?

The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.

Genetic algorithm projects done by Project 1400:

  • Genetic Algorithm Project with Python

  • Genetic Algorithms Project in Optimization

  • multi functional genetic algorithm project in optimizer

  • article about genetic algorithm

  • Genetic algorithm project in optimizing nonlinear systems

  • Implementation of genetic algorithms

  • Genetic algorithm code in MATLAB

  • Sudoku project with genetic algorithm in MATLAB

  • genetic algorithm project in artificial intelligence ppt

  • Statistical analysis of SPSS with genetic algorithm projects

  • 8 Queens Solution with Genetic Algorithm

  • Genetic Algorithm Project in R

  • Genetic algorithms in linear system optimization

  • MATLAB project with genetic algorithm in various fields

  • etc

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About Us.

Project sara is a international company by number of users and projects, since 2011.

Why us? 

  • Complete knowledge of Genetic Algorithm
  • As an engineer, have an idea of how things work
  • Cheap rates.
  • Includes revision
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  • Comments will be also added in the script
  • Guaranteed full marks in assignments!