Modeling grammatical evolution by automaton

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@Article{journals/chinaf/HeJW11,

• author = "Pei He and Colin G. Johnson and HouFeng Wang",
• title = "Modeling grammatical evolution by automaton",
• journal = "SCIENCE CHINA Information Sciences",
• year = "2011",
• number = "12",
• volume = "54",
• pages = "2544--2553",
• publisher = "Science China Press, co-published with Springer",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, FSM",
• ISSN = "1674-733X",
• DOI = "doi:10.1007/s11432-011-4411-8",
• size = "10 pages",
• abstract = "Twelve years have passed since the advent of grammatical evolution (GE) in 1998, but such issues as vast search space, genotypic readability, and the inherent relationship among grammatical concepts, production rules and derivations have remained untouched in almost all existing GE researches. Model-based approach is an attractive method to achieve different objectives of software engineering. In this paper, we make the first attempt to model syntactically usable information of GE using an automaton, coming up with a novel solution called model-based grammatical evolution (MGE) to these problems. In MGE, the search space is reduced dramatically through the use of concepts from building blocks, but the functionality and expressiveness are still the same as that of classical GE. Besides, complex evolutionary process can visually be analysed in the context of transition diagrams.",
• affiliation = "State Key Laboratory of Software Engineering, Wuhan University, Wuhan, 430072 China",
• bibdate = "2011-12-05",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/chinaf/chinaf54.html#HeJW11",

}

Genetic Programming entries for Pei He Colin G Johnson HouFeng Wang

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