An Effective Solver for Solving Nonlinear Constrained Optimization Problems
Hello everyone, in this video, I’m going to show you an effective solver for solving nonlinear constrained optimization problems. This optimization solver is very effective and very easy to use. The optimization solver I’m talking about is the ‘fmincon’ solver in Matlab. Here is the interface of the solver. It’s very easy to use. We just need to put the objective function, start point, and constraints in these highlighted sections. The rest will be automatically handled by the solver.
In this video, I’m going to use 7 case studies to cover 7 possible scenarios when we use ‘fmincon’ solver to solve various types of nonlinear constrained optimization problems. Let’s see.
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.
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All of my videos on the topic of Solving Optimization Problems: #SolvingOptimizationProblems, #UsingOptimizationSolver, #UsingFminconSolver
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