Multi-objective genetic algorithm for synchrotron radiation beamline optimization

In this study, a novel optimization method based on a multi-objective genetic algorithm is introduced, the first attempt to optimize a beamline with multiple objectives. In order to verify this method, beamline ID17 of the European Synchrotron Radiation Facility (ESRF) is taken as an example for simulation, with energy and dose rate as objectives. The result shows that this method can be effective for beamline optimization, and an optimal solution set can be obtained within 30 generations. For the solutions whose objectives are both improved compared with those of ESRF beamline ID17, the maximums of energy and dose rate increase by around 7% and 20%, respectively.

Source: Journal of Synchrotron Radiation - November 24, 2022 Category: Physics Authors: Zhang, J. Qi, P. Wang, J. Tags: beamline design multi-objective optimization genetic algorithm research papers Source Type: research