A real-valued genetic algorithm with random rank-based selection is shown to successfully estimate the multiple phases of a segmented optical system modeled on the seven-mirror Systematic Image-Based Optical Alignment test bed located at NASA’s Marshall Space Flight Center. Comparisons are made between this and more traditional phase-retrieval methods. No significant increase in computational speed is observed using the genetic algorithm technique.