Adaptive ReStart Hybrid Genetic Algorithm (Test the Performance in Case Study 2)

Welcome to video #2 in a series of videos, in which I have been testing my innovative version of Genetic Algorithm, which I called, adaptive restart hybrid Genetic Algorithm.
In this series of videos, I am going to use a number of benchmark optimization problems with a well-known optimal solutions to validate the effectiveness of my innovative Genetic Algorithm. In addition, I will show you how to customize my Matlab code of the proposed innovative Genetic Algorithm to solve your optimization problems. Customizing this Matlab code to solve a new optimization problem is very easy and fast. We don’t need to build this kind of Matlab code from scratch. Majority of this Matlab code can be kept the same. Please keep watching and you will see the interesting results.
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+ Matlab/Python codes of my Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing Algorithm: bit.ly/2Aj0TQ6
Download this Matlab code here: bit.ly/3ERXZjk
HERE ARE 6 LISTS OF MY VIDEOS YOU MAY BE INTERESTED IN:
1. Optimization Using Genetic Algorithm:
• Optimization Using Gen...
2. Optimization Using Particle Swarm Optimization:
• Optimization Using Par...
3. Optimization Using Simulated Annealing Algorithm:
• Optimization Using Sim...
4. Optimization Using Optimization Solvers:
• Optimization Using Opt...
5. Optimization Using Matlab:
• Optimization Using Matlab
6. Optimization Using Python:
• Optimization Using Python
If you have any questions, please let me know by leaving a comment below.
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All of my videos on the topic of Solving Optimization Problems: #MyGeneticAlgorithm, #MyMatlabCode
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[@kmpiash]

Your videos are really helpful. It will be great if you can share a optimal solution for Electric Vehicle (EV) schedule charging according to solar power availability for a grid connected solar PV powered EV charging station.

[@SolvingOptimizationProblems]

Noted. Thank you for your interesting suggestions!