This web page contains additional material for this paper: N.C. Cruz, S. Salhi, J.L. Redondo, J.D. Álvarez, M. Berenguel and P.M. Ortigosa. Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization. Preprint submitted to The Journal of Supercomputing, September, 2017
Appendix A links and documents the open-source genetic optimizer derived from that work while Appendix B proposes a new heuristic way to generate automatic radial-staggered heliostat fields as initial solutions. Take into account that some details are referred to the mentioned manuscript. Hence, the interested reader is invited to read the full paper first in order to get a complete understanding of this complementary material.