Adaptive Re-Start Hybrid Genetic Algorithm in Matlab

In this video, I'm going to show you my innovative version of Genetic Algorithm (GA), called adaptive restart hybrid Genetic Algorithm, coded in Matlab.
Genetic Algorithm is one of the most general global optimisation solution methods used in countless number of research publications. However, like other search techniques, GA has weak theoretical guarantee of global optimal solution and can only offer a probabilistic guarantee. Having a GA capable of searching for the global optimal solution with very high success probability is always desirable. In this research, an innovative structure of GA, in which adaptive restart, local search, and chromosome elite transferring strategies are harmoniously integrated together, is proposed to improve the success rate of achieving global optimal solution of the traditional Genetic Algorithm. The robustness of the proposed GA structure is demonstrated through a number of case studies and benchmark optimization problems.
Download this Matlab code here: bit.ly/3rghWgH
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+ Matlab/Python codes of my Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing Algorithm: bit.ly/2Aj0TQ6
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
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Good 🎉🎉thank you so much

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