Distributed Genetic Algorithm

Project Title

Distributed Genetic Algorithm

Project Area of Specialization Artificial IntelligenceProject Summary

Using Artificial intelligence our main purpose to find the best fit population for this purpose we will use genetic algorithms

.First,a pool of random potential solutions is created that should have adequate diversity.Preprocessing population of GA.

Next,The fitness of each member is computed.Selection on the basis of fitness

Next,Members of the population are selected based on some algorithm.The two simplest approaches are roulete wheel selection, and elitist selection.

The next step is to recombine these members material to form the members of the next population.

Project Objectives

   to find different ways :-
  1-computation

  2-implementation

  3-strategies

  4-optimization method

  5-best fit population

Project Implementation Method

Scala in context of spark while results will be evaluated on cluster.

Benefits of the Project

We can find a différent way to solve optimization problems.

Technical Details of Final Deliverable

Being population based characteristics of GA it would solve evolutionary problems

Final Deliverable of the Project Software SystemType of Industry IT Technologies OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
Data Bricks Analytics Server Services	Equipment	1	70000	70000