I have an existing Python script that implements a multiobjective evolutionary algorithm for optimisation, that needs to run in a fraction of the time that it currently runs. It is computationally heavy and contains numerous loops that will need to be run in parallel. It can be rewritten in Python but I would possibly like to explore other, more performant languages, like Julia.

Deliverable:
High performant version of the current Python script written in Python/Julia etc. that reduces the run-time of the script significantly

Objectives:
- Parrallelise loops where possible
- any other possible alterations to the algorithm that will achieve faster execution speeds

Note: if the script is written in a language such as Julia, it will need to be able to read/write data to and from Google Bigquery.

The script will be made available once the candidate it selected.