Question 1

How do I set up a custom genetic programming problem in Clojush?

Accepted Answer

Install Clojure and Leiningen, then define an error function that runs Push programs and returns a list of errors. Configure parameters in an argmap, similar to the demo files in src/clojush/problems/demos, and use lein run with your namespace.

Question 2

Clojush vs DEAP: which is better for evolutionary computation?

Accepted Answer

Clojush excels for research involving Push language and advanced features like autoconstructive evolution, while DEAP in Python is more accessible for standard genetic programming with a larger ecosystem and easier integration.

Question 3

What are the system requirements for running Clojush on large datasets?

Accepted Answer

It requires sufficient memory and multi-core processors; the README suggests Java arguments like -Xmx2000m for memory and -XX:+UseParallelGC for garbage collection to optimize performance.

Question 4

How can I add new instructions to Clojush?

Accepted Answer

Use the define-registered macro to create Clojure functions that modify the Push interpreter state, following examples from existing instructions in the codebase.

Question 5

Does Clojush support multi-objective optimization?

Accepted Answer

No, PushGP in Clojush is designed for single-objective error minimization; for multi-objective tasks, you would need to hack the error function or extend the system yourself.

Question 6

How does automatic simplification work on evolved programs?

Accepted Answer

It iteratively removes code elements (atoms or sub-lists) and checks if the error remains the same or improves, keeping the simpler version; this is applied to the best program each generation and at run end.

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