GA is used to find the optimum layout of a heliostat field. How does the layout of the field given as starting solution affect the efficiency?

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Mohamad M. Awad

Dear Kinshuk,

The following article can help you find a solution:

Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization

N. C. Cruz,, S. Salhi, J. L. Redondo, J. D. Álvarez, M. Berenguel & P. M. Ortigosa ,

Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization, The Journal of Supercomputing volume 75, pages1268–1283(2019)

Mohamed-Mourad Lafifi

Dear Kinshuk Shekhar,

I suggest you to see links and attached files on topic.

Conference Paper Heliostat Field Layout Optimization with Evolutionary Algorithms

Article Optimization of heliostat field layout for solar power tower...

Best regards

Stam Nicolis

It shoudn’t. The only effect should be trapping within a local minimum, that will depend on the initial configuration; but since getting out of local minima, or, even, avoiding them altogether, is part of the approach, it’s a standard check that the results don’t depend on the starting configuration.