Hello Everyone,
I have worked on GA toolbox before but i am new to the inequality constraints.
I know that Ax
Why not use mathematical optimization? It's a trivial reformulation to re-shape your problem into a feasibility problem, for which there are very fast and accurate solvers that will give you guaranteed optimal solutions every time, and quickly, too.
Dear Taimoor Mohsin,
I suggest you to see links and attached file on topic.
Constrained Minimization Using the Genetic Algorithm - MATLAB ...
https://www.mathworks.com/.../constrained-minimization-using-th...
Examples of Running Constrained Optimization Codes - Duke University
www.duke.edu/~hpgavin/cee201/optim_examples.pdf
Using Matlab Global Optimization Toolbox for Genetic Algorithms
www.ent.mrt.ac.lk/.../L10%20Using%20Matlab%20Global%20Opt...
Best regards
Why not use mathematical optimization? It's a trivial reformulation to re-shape your problem into a feasibility problem, for which there are very fast and accurate solvers that will give you guaranteed optimal solutions every time, and quickly, too.
Assuming Y1 is the vector of variables you wish to optimize, the constraints are:
Y1
Michael Patriksson can you kindly guide me further please? i have done the mathematical formulation and i am trying to optimize this problem using GA.
I have almost solved my problem but if you have some better solutions then kindly guide me. I would love to implement those.
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