Hybrid Genetic Algorithm for Non-linear Constrained Optimization Problems (Case study 1)
Hello everyone. I have successfully developed a powerful Hybrid Genetic Algorithm for non-linear constrained optimization problems. This Genetic Algorithm not only has a mechanism to restart its search process if it gets stuck in local optima, but also has a local search algorithm. Therefore, this Hybrid Genetic Algorithm is very robust for non-linear constrained global optimization problems. In this video, first, I am going to run my Hybrid Genetic Algorithm to demonstrate its performance, and then I will show you its Matlab code, which you can copy, and customize to solve your problems. Let's see!
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Matlab code: https://bit.ly/3jGw6hu
HERE ARE 6 LISTS OF MY VIDEOS YOU MAY BE INTERESTED IN:
1. Optimization Using Genetic Algorithm:
• Optimization Using Genetic Algorithms
2. Optimization Using Particle Swarm Optimization:
• Optimization Using Particle Swarm Optimiza...
3. Optimization Using Simulated Annealing Algorithm:
• Optimization Using Simulated Annealing Alg...
4. Optimization Using Optimization Solvers:
• Optimization Using Optimization Solvers
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: #SolvingOptimizationProblems, #MyGeneticAlgorithm, #MyMatlabCode
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