This is a toy genetic algorithm optimiser for the DECC 2050 Pathways Calculator. It allows multi-criteria non-linear optimisation of possible pathways for the UK's energy system.
Further detail on the overall project: http://www.decc.gov.uk/2050
Canonical source for this optimizer: http://github.com/decc/decc_2050_optimizer
Right now this is a naive implementation that we are messing around with. It has not been used in anger.
Requires:
- ruby 1.9.3 (www.ruby-lang.org)
- a standard C compiler and libraries
- the R statistical package (only if you want to plot the visualisations)
- the zeromq libary (only if you want to run in parallel processing mode)
Requires the bundler gem:
sudo gem install bundler
To install dependencies:
cd decc_2050_optimizer
bundler
To run an example optimisation
cd decc_2050_optimizer
ruby examples/optimise_ghg.rb
To write your optimisation, take a look at:
examples/optimise_cost_no_nuclear.rb
The code has support for parallel processing. To use it, you must first run a few worker processes:
bundle exec lib/parallel_processing_worker.rb
Then you should set the optimiser to use the workers. This means adding:
optimiser.setup_parallel_processing
before calling
optimiser.run!
For an example, take a look at examples/optimise_cost_no_nuclear_parallel.rb or run it by:
bundle exec examples/optimise_cost_no_nuclear_parallel.rb
Grateful for bugs and patches: http://github.com/decc/decc_2050_optimizer
Department of Energy and Climate Change 3 Whitehall Place London SW1A 1AA
Where not otherwise covered by separate copyright, this source code is Crown Copyright (c) 2012
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