NDLI: Genetically Programmed Pattern Matching for Overlapping Patterns

Content Provider	IEEE Xplore Digital Library
Author	Nedjah, N. de Macedo Mourelle, L.
Copyright Year	2006
Abstract	Pattern matching is a fundamental feature in many applications such as functional programming, logic programming, theorem proving, term rewriting and rule-based expert systems. Usually, patterns size is not constrained and ambiguous patterns are allowed. This generality leads to a clear and concise programming style. However, it yields challenging problems in compiling of such programming languages. Generally, patterns are pre-processed into a deterministic finite automaton. With ambiguous or overlapping patterns a subject term may be an instance of more than one pattern. In this case, pattern matching order in lazy evaluation affects the size of the matching automaton and the matching time. Furthermore, it may even affect the termination properties of term evaluations. In this paper, we engineer good traversal orders that allow one to design an efficient adaptive pattern-matchers that visit necessary positions only. We do so using genetic programming to evolve the most adequate traversal order given the set of allowed patterns. Hence, we improve time and space requirements of pattern-matching as well as termination properties of term evaluation
Starting Page	406
Ending Page	411
File Size	6928802
Page Count	6
File Format	PDF
ISBN	1424402719
DOI	10.1109/ICCES.2006.320482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-05
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Patten matching genetic programming Logic programming Terminology Computer languages Design engineering Genetic programming Automata Genetic engineering overlapping patterns Functional programming Expert systems Pattern matching
Content Type	Text
Resource Type	Article

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