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Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary LanguageApril 2003
Publisher:
  • Kluwer Academic Publishers
  • 101 Philip Drive Assinippi Park Norwell, MA
  • United States
ISBN:978-1-4020-7444-8
Published:01 April 2003
Pages:
160
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Abstract

From the Publisher:

Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministics or some other approach - and to radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.

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  143. Pappa G and Freitas A Automatically evolving rule induction algorithms Proceedings of the 17th European conference on Machine Learning, (341-352)
  144. Georgiou L and Teahan W jGE Proceedings of the 10th WSEAS international conference on Systems, (410-415)
  145. ACM
    Oplatková Z and Zelinka I Investigation on artificial ant using analytic programming Proceedings of the 8th annual conference on Genetic and evolutionary computation, (949-950)
  146. ACM
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  147. Motsinger A, Dudek S, Hahn L and Ritchie M Comparison of neural network optimization approaches for studies of human genetics Proceedings of the 2006 international conference on Applications of Evolutionary Computing, (103-114)
  148. Rothlauf F and Oetzel M On the locality of grammatical evolution Proceedings of the 9th European conference on Genetic Programming, (320-330)
  149. Nicolau M and Ryan C Solving sudoku with the GAuGE system Proceedings of the 9th European conference on Genetic Programming, (213-224)
  150. McConaghy T and Gielen G Double-strength CAFFEINE Proceedings of the conference on Design, automation and test in Europe: Proceedings, (269-274)
  151. Robilliard D, Mahler S, Verhaghe D and Fonlupt C Santa fe trail hazards Proceedings of the 7th international conference on Artificial Evolution, (1-12)
  152. ACM
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  153. ACM
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  154. de la Cruz Echeandía M, de la Puente A and Alfonseca M Attribute grammar evolution Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II, (182-191)
  155. Cleary R and O’Neill M An attribute grammar decoder for the 01 multiconstrained knapsack problem Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization, (34-45)
  156. Escuela G, Ochoa G and Krasnogor N Evolving l-systems to capture protein structure native conformations Proceedings of the 8th European conference on Genetic Programming, (74-84)
  157. Stephens C, Nicolau M and Ryan C Zero is not a four letter word Proceedings of the 8th European conference on Genetic Programming, (371-380)
  158. O'Neill M and Brabazon A mGGA Proceedings of the 8th European conference on Genetic Programming, (311-320)
  159. Tanev I Incorporating learning probabilistic context-sensitive grammar in genetic programming for efficient evolution and adaptation of snakebot Proceedings of the 8th European conference on Genetic Programming, (155-166)
  160. Chennupati G, Azad R and Ryan C Automatic lock-free parallel programming on multi-core processors 2016 IEEE Congress on Evolutionary Computation (CEC), (4143-4150)
  161. Naqvi S and Browne W Adapting learning classifier systems to symbolic regression 2016 IEEE Congress on Evolutionary Computation (CEC), (2209-2216)
Contributors
  • University College Dublin
  • University of Limerick

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