Data for article: Performance evaluation of metaheuristic algorithms for femtosecond laser pulse optimization

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 profileFigure 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 profileFigure 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 profileFigure 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 spectraFigure 12 presents the repeatability of implemented algorithms with either fixed or random initial masks: comparison of autocorrelation functionsFigure 13 presents the repeatability of implemented algorithms with either fixed or random initial masks: comparison of optimal phase masks