Genetic Algorithm For Constrained Optimization Problems (Case study 2)

Veröffentlicht am: 16 November 2019
auf dem Kanal: Solving Optimization Problems

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Hi everyone. In this video, I'm going to show you my genetic algorithm for constrained optimization problems. This genetic algorithm has a mechanism to restart its search process if it gets stuck in local optima. Therefore, this genetic algorithm has very high success rate of achieving global optimal solutions. This is the second case study in a series of case studies to test the outperformance of my genetic algorithm. In this case study, I solve the constrained box volume optimization problem. First, I run the genetic algorithm to demonstrate its performance, and then I will show you the Matlab code, so that you can copy, and customize to code to solve your problems. Let's get started.

Matlab/Python codes of my Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing Algorithm: https://learnwithpanda.com/category/s...

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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:
   • 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.

About Me: https://learnwithpanda.com/about-me/
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