Finding the global maxima of stalagmite function using genetic algorithm
In this project you will learn the optimization techniques using the genetic algorithm to get the global maxima of the stalagmite function and as an outcome, will come to know about the process of optimizing the particular function
- Mechanical Engineering
- Automobile Engineering
- Aerospace Engineering
1 month
INR 10,000
Benefits of this Project
In this project you will learn the optimization techniques using the genetic algorithm to get the global maxima of the stalagmite function and as an outcome, will come to know about the process of optimizing the particular function
What will you do in this project?
Step 1 - Matlab Scripting
Step 2 - Analysing the different studies in genetic algorithm
Step 3 - Comparing the optimization results using various conditions
In this project, you will work on the optimization techniques using genetic algorithm. You will do the following in this project,
- You will be learning the basic techniques of optimization using MATLAB
- The syntax of Genetic algorithm should be learned
- And you will apply ga to a stalagmite mathematical model
- To learn how to get the maximum point of the stalagmite function using GA
- To study about the working of ga
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Project Highlights
Work on professional project
Pre-requisites
Project outcomes
Finding the global maxima of stalagmite function using genetic algorithm
In this project your main target is to find the global maximum point of the function which you are defining using the genetic algorithm which is one of the optimization algorithms and it will tend to give you the global values for the defined function. And the function which you are using in this project is the stalagmite function. You will be scripting a code in MATLAB to get the optimized maximum value of the function with some constraints if you defined. And there are three main studies in this project. And the different studies will give you the different insights of the process and will make your results accurate enough. The output of the genetic algorithm will show the final optimum value of the function.