Test Your Understanding About Genetic Algorithm

According to the statistics data on Web of Science, the world’s leading citation database, Genetic algorithm is the most popular stochastic optimization algorithm in 18 different research fields including, Engineering, Computer science, Operations research, Mathematics, Physics, Chemistry, Automation control systems, Materials science, Energy fuels, Mechanics, Telecommunications, Thermodynamics, Optics, Environmental sciences ecology, Water resources, Transportation, Construction building technology, and Robotics.
Let’s take a test to see how much you know about Genetic Algorithm.
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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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[@yensteel]

Is NSGAII still the most popular algorithm for Genetic Algorithm? Any better alternatives? NSGAIII was developed in 2014 for example, which is better at exploration.

[@SolvingOptimizationProblems]

No, I don't think NSGAII is the most popular for GA. In general, the later version should be better ...

[@mananchauhan3404]

I want to optimize a SRM motor in matlab using GA and I have developed a program that calculates the losses and efficiency but I have trouble in using the optimization tool. Please help me

[@SolvingOptimizationProblems]

Please see other videos using GA solver in Matlab on this channel. Thanks