In order to benefit from optimization toolbox of Matlab I would like to do know if any one can help me by instructions (papers/books/notes) to call EES which has good material properties in Matlab. Thanks.
No problem. There is another approach if you developed your own code in EES. You can select your design parameters and two important objective functions. make an excel sheet with all those design parameters and those two objective functions. Try to change all those parameters and calculate the objective functions which would be cost and efficiency. try to change one by one and then two by two and make a 1000 data at least.
Then, you can use neural network to model that excel sheet as a matlab mfile and then you can make benefit of Matlab optimization toolbox. This doesn't need to link software and is really time consuming. You can call me and I will provide more information if you would like.
See the attached paper which neural network is used to simulate the EES code as Matlab mfile.
I might know what you are trying to do. Although that would be a good idea to call EES in Matlab in order to make benefit of Optimization tools, that would take a lot of time to get your results as it is kind of interface. What I would suggest is to use neural network to code the problem then use Matlab and recall that to apply the optimization. Besides, if you need thermodynamic properties, there are some links that you can link refprop into Matlab.
No problem. There is another approach if you developed your own code in EES. You can select your design parameters and two important objective functions. make an excel sheet with all those design parameters and those two objective functions. Try to change all those parameters and calculate the objective functions which would be cost and efficiency. try to change one by one and then two by two and make a 1000 data at least.
Then, you can use neural network to model that excel sheet as a matlab mfile and then you can make benefit of Matlab optimization toolbox. This doesn't need to link software and is really time consuming. You can call me and I will provide more information if you would like.
See the attached paper which neural network is used to simulate the EES code as Matlab mfile.
Assumptions: I have 5 design parameter(x1, x2, x3, x4 ,x5 ) and 2 objective functions(f1,f2) and those design parameters are independent and Continuous
For example: I want to change x1 10 times and calculate f1 and f2 , what should be are quantity of " x2, x3, x4, x5" ?
if I change x2, x3, x4, x5 10 times such as x1 I have 10*10*10*10*10=100000 quantity for f1 and 100000 quantity for f2, Is it true or not ? Its your purpose?
Multi-objective optimization and linking matlab and EES for various optimization methods is not problem anymore. I used DDE to link EES and matlab and it worked well. I tried different optimization methods such as GA, PSO , ... for a simple Brayton Cycle optimization. https://www.kelaas.com/035