Title
Polytypic Genetic Programming.
Abstract
Program synthesis via heuristic search often requires a great deal of 'boilerplate' code to adapt program APIs to the search mechanism. In addition, the majority of existing approaches are not type-safe: i.e. they can fail at runtime because the search mechanisms lack the strict type information often available to the compiler. In this article, we describe Polytope, a Scala framework that uses polytypic programming, a relatively recent advance in program abstraction. Polytope requires a minimum of boilerplate code and supports a form of strong-typing in which type rules are automatically enforced by the compiler, even for search operations such as mutation which are applied at runtime. By operating directly on language-native expressions, it provides an embeddable optimization procedure for existing code. We give a tutorial example of the specific polytypic approach we adopt and compare both runtime efficiency and required lines of code against the well-known EpochX GP framework, showing comparable performance in the former and the complete elimination of boilerplate for the latter.
Year
DOI
Venue
2017
10.1007/978-3-319-55792-2_5
Lecture Notes in Computer Science
Keywords
DocType
Volume
Polytypic programming,Datatype generic programming,Genetic programming,Functional programming,Scala
Conference
10200
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Jerry Swan119619.47
Krzysztof Krawiec297578.06
Neil Ghani331.10