freegs.optimiser

Differential Evolution optimisation

Implemented generically, to optimise opaque objects

The optimiser copies objects using deepcopy, and manipulates objects using supplied control objects.

Copyright 2019 Ben Dudson, University of York. Email: benjamin.dudson@york.ac.uk

This file is part of FreeGS.

FreeGS is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

FreeGS is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with FreeGS. If not, see <http://www.gnu.org/licenses/>.

Functions

mutate(obj, controls)	Create a new object by taking an object and a set of control objects to change randomly
optimise(obj, controls, measure[, maxgen, ...])	Use Differential Evolution to optimise an Equilibrium https://en.wikipedia.org/wiki/Differential_evolution
pickUnique(N, m, e)	Pick m random values from the range 0...(N-1), excluding those in list e The returned values should be in a random order (not sorted)