PSwarm is a global optimization solver for bound and linear constrained problems (for which the derivatives of the objective function are unavailable, inaccurate or expensive).
The algorithm combines pattern search and particle swarm. Basically, it applies a directional direct search in the poll step (coordinate search in the pure simple bounds case) and particle swarm in the search step.
PSwarm makes no use of derivative information of the objective function. It has been shown to be efficient and robust for smooth and nonsmooth problems, both in serial and in parallel.
We expect that all publications describing work using this software quote the following reference:
For further information about PSwarm, contact aivaz@dps.uminho.pt.
The model is specified by a model file, and optionally, a data file and a commands file. If the command file is specified it must contain the AMPL solve command.
The commands file can contain any AMPL command or set options for PSwarm with, for example,
option pswarm_options "size=60";
Options include any of the parameters
Printing directed to standard out is returned to the user with the output.
The user must submit a model in AMPL format. Examples are provided in the examples section of the AMPL website.
The problem must be specified in a model file. A data file and commands files may also be provided. If the commands file is specified, it must contain the AMPL solve command; however, it must not contain the model or data commands. The model and data files are renamed internally by NEOS. The commands file may include option settings for the solver. To specify solver options, add
solve
model
data
option pswarm_options 'OPTIONS';