In this video, I’m going to show you my Hybrid Non-Dominated Sorting Genetic Algorithm (or Hybrid NSGA-II) in Python and demonstrate how it works in solving an optimization problem with 2 objectives and 3 variables. This is an improved version of multi objective genetic algorithm in which a local search algorithm is added to the famous Non-Dominated Sorting Genetic Algorithm (or NSGA-II) to enhance the solution quality.
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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:
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3. Optimization Using Simulated Annealing Algorithm:
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4. Optimization Using Optimization Solvers:
• Optimization Using Optimization Solvers
5. Optimization Using Matlab:
• Optimization Using Matlab
6. Optimization Using Python:
• Optimization Using Python
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