Files include the data presented in the manuscript entitled: "Performance Evaluation of Metaheuristic Algorithms for Femtosecond Laser Pulse Optimization" by A. Kwaśny and G. Soboń.
Figure 5 presents the characterization of a laser pulse optimized with Grey Wolf Optimizer: autocorrelation trace of the pulse; optical spectrum measured with OSA; temporal intensity profile of the pulse with the temporal phase; optical spectrum with the spectral phase measured with FROG, and the generated phase profile
Figure 6 presents the characterization of a laser pulse optimized with the Genetic Algorithm: autocorrelation trace of the pulse; optical spectrum measured with OSA; temporal intensity profile of the pulse with the temporal phase; optical spectrum with the spectral phase measured with FROG, and the generated phase profile
Figure 7 presents the characterization of a laser pulse optimized with the Crow Search Algorithm: autocorrelation trace of the pulse; optical spectrum measured with OSA; temporal intensity profile of the pulse with the temporal phase; optical spectrum with the spectral phase measured with FROG, and the generated phase profile
Figure 8 presents a comparison of convergence curves of GWO, GA, and CS algorithms.
Figure 9 presents a comparison of cost functions of GWO, GA and CS.
Figure 10 presents the repeatability of implemented algorithms with either fixed or random initial masks: a comparison of optical spectra with the spectral phase measured with FROG.
Figure 11 presents the repeatability of implemented algorithms with either fixed or random initial masks: comparison of optical spectra
Figure 12 presents the repeatability of implemented algorithms with either fixed or random initial masks: comparison of autocorrelation functions
Figure 13 presents the repeatability of implemented algorithms with either fixed or random initial masks: comparison of optimal phase masks
(2025-06)
