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Summary of optimization algorithms, physical quantities and units, and script functions in the software.
This section describes the PSO algorithm.
The Particle Swarm Optimization (PSO) algorithm, initially used to simulate the social behavior of bird flocks or fish schools, is a stochastic optimization technique based on collective collaboration. It has been widely applied to address various optimization issues, including nanophotonics design. The main purpose of the PSO algorithm is to find the optimal solution through collaboration and information sharing among individuals within the swarm.
This section summarizes script functions available in the software.
The software offers a variety of built-in script functions that meet the needs of numerical calculations. This section is the overview list of functions, where users can search according to functionality categories as needed.
