Parallel particle swarm optimization

A system for parallel particle swarm optimization comprising:

• a plurality of simulation processors operational to simulate a plurality of simulation input files in parallel to produce a plurality of simulation result files;
• and
• a first processor operational to:
• initialize a plurality of particle positions of a plurality of particles and a plurality of particles velocities of the plurality of particles in response to a plurality of design variables, wherein the plurality of particles represent a plurality of candidate designs within a solution space;
• parse the plurality of particle positions and the plurality of particles velocities into the plurality of simulation input files in a current iteration of a plurality of iterations;
• present the plurality of simulation input files in parallel to the plurality of simulation processors;
• compute a plurality of objective function values of the plurality of particles in response to a plurality of simulation result files;
• update the plurality of particles in the solution space using particle swarm optimization based on the plurality of objective function values;
• and
• repeat the parse, the present, the compute, and the update in each subsequent iteration of the plurality of iterations to identify a final design.

A non-transitory computer readable storage medium storing instructions that control data processing, the instructions, when executed by a processor cause the processor to perform a plurality of operations comprising:

• initializing a plurality of particle positions of a plurality of particles and a plurality of particles velocities of the plurality of particles in response to a plurality of design variables, wherein the plurality of particles represent a plurality of candidate designs within a solution space;
• parsing the plurality of particle positions and the plurality of particles velocities into a plurality of simulation input files in a current iteration of a plurality of iterations;
• presenting the plurality of simulation input files in parallel to a plurality of simulation processors, wherein the plurality of simulation processors simulate the plurality of simulation input files in parallel to produce a plurality of simulation result files;
• computing a plurality of objective function values of the plurality of particles in response to the plurality of simulation result files;
• updating the plurality of particles in the solution space using particle swarm optimization based on the plurality of objective function values;
• and
• repeating the parsing, the presenting, the computing, and the updating in each subsequent iteration of the plurality of iterations to identify a final design.