Solving a Travelling Salesman Problem (TSP) Using Adaptive Restart Genetic Algorithm

In this video, I’m going to show you a Matlab code and demonstrate the performance of an Adaptive Restart Genetic Algorithm for solving travelling salesman problems (Solving a Travelling Salesman Problem (TSP) Using Adaptive Restart Genetic Algorithm). This Genetic Algorithm can automatically restart its search process if it’s getting stuck in local optima. Thereby, the capability of the Genetic Algorithm for finding the global optimal solution is significantly enhanced. Let’s begin.

HERE ARE 6 LISTS OF MY VIDEOS YOU MAY BE INTERESTED IN:
1. Optimization Using Genetic Algorithm:
2. Optimization Using Particle Swarm Optimization:
3. Optimization Using Simulated Annealing Algorithm:
4. Optimization Using Optimization Solvers:
5. Optimization Using Matlab:
6. Optimization Using Python:

If you have any questions, please let me know by leaving a comment below.

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[engproje]

Hello sir. Do you have any chance to rewrite this code by simulated anneling? Thank you.

[timepass]

hello sir, will you please explain what is adaptive restart?

[muartinovi]

Hello sir, what type of crossover operator is used in this program?

[wadudplabon]

Hello sir, , , if you explain the code then it will be better for us.