Пакет pswarm: Информация

 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.

 The code provides an interface with Python and R. The C code includes a
parallel version using MPI. PSwarm can also be run through the NEOS
server (under the Global Optimization category). You can use PSwarm with
Python problems using the OpenOpt framework.

Пакет pswarm: Информация

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