1995•Unpublished venueRequires access

Data Structures and Genetic Programming

W.B. Langdon

Abstract

In real world applications, software engineers recognise the use of memory must be organised via data structures and that software using the data must be independant of the data structures’ implementation details. They achieve this by using abstract data structures, such as records, files and buffers. We demonstrate that genetic programming can automatically implement simple abstract data structures, considering in detail the task of evolving a list. We show general and reasonably efficient implementations can be automatically generated from simple primitives. A model for maintaining evolved code is demonstrated using the list problem. 4 page early abstract at http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/GPlist_aigp2.ps

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Key concepts: Computer science, Programming language, Data structure, Software, Genetic programming, Simple (philosophy), Code (set theory), Implementation