Grammar-guided evolutionary automatic system for autonomously building biological oscillators
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Font:2010:cec,
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author = "Jose M. Font and Daniel Manrique",
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title = "Grammar-guided evolutionary automatic system for
autonomously building biological oscillators",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "This paper presents a grammar-guided evolutionary
automatic system (GGEAS) that is capable of
autonomously building special-purpose problem-solving
programs. GGEAS uses a grammar-guided genetic
programming (GGGP) core that generates solutions to a
given problem from scratch, evolving them via
selection, crossover and replacement to obtain the
near-optimal solution to that problem. The GGGP core
solves the closure problem and avoids code bloat. This
core only outputs valid solutions and is able to freely
determine their size and architecture. GGEAS is
supplemented by three external modules that can be
configured for any application domain: context-free
grammar (CFG) generator, semantic checker and fitness
module. The context-free grammar (CFG) generator
creates the context-free grammar used by the GGEAS core
to formalise the problem constraints. The semantic
checker ensures the validity of the solutions created.
Finally, the fitness module directs the population
evolution towards an optimal solution to the problem.
In order to test the effectiveness and the scope of the
system, GGEAS has been applied to generate oscillatory
biological programs codified in the BlenX language. The
results show that GGEAS is effective at creating
biological oscillators in silico from scratch without
any prior knowledge about the solution and under a
range of environmental conditions.",
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DOI = "doi:10.1109/CEC.2010.5586377",
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notes = "WCCI 2010. Also known as \cite{5586377}",
- }
Genetic Programming entries for
Jose M Font
Daniel Manrique Gamo
Citations