Evolving a logo design using Lindenmayer systems, Postscript & Grammatical Evolution
作者： Michael O'Neill , Anthony Brabazon , None
关键词: Logo 、 Grammar 、 Grammatical evolution 、 Evolutionary algorithm 、 Artificial intelligence 、 Rule-based machine translation 、 Fitness function 、 Natural language processing 、 Evolutionary computation 、 Computer science 、 Natural computing
摘要: We present an application of grammatical evolution to the exploration Lindenmayer systems. The resulting L-systems are expressed in postscript language, and as such a grammar was provided input algorithm. system takes form interactive evolutionary algorithm, with human-in-the-loop acting fitness function for generated L-systems. motivation this research evolve logo UCD Natural Computing Research & Applications group, end study success.
sci-hub.se 参考文章(28)
Adobe Syst, Adobe Press, PostScript Language Tutorial and Cookbook Addison-Wesley Longman Publishing Co., Inc.. ,(1986)
Martin Hemberg, Una-May O’Reilly, Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8 Lecture Notes in Computer Science. pp. 299- 308 ,(2004) , 10.1007/978-3-540-24650-3_28
Michael O'Neill, Conor Ryan, Maarten Keijzer, Mike Cattolico, Crossover in Grammatical Evolution Genetic Programming and Evolvable Machines. ,vol. 4, pp. 67- 93 ,(2003) , 10.1023/A:1021877127167
Conor Ryan, Michael O'Neill, Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language ,(2003)
G.S. Hornby, J.B. Pollack, The advantages of generative grammatical encodings for physical design congress on evolutionary computation. ,vol. 1, pp. 600- 607 ,(2001) , 10.1109/CEC.2001.934446
John R. Koza, Genetic Programming II: Automatic Discovery of Reusable Programs ,(1994)
Martin Hemberg, Una-May O’Reilly, Achim Menges, Katrin Jonas, Michel da Costa Gonçalves, Steven R. Fuchs, Genr8: Architects’ Experience with an Emergent Design Tool Natural Computing Series. pp. 167- 188 ,(2008) , 10.1007/978-3-540-72877-1_8
Peter Bentley, None, Evolutionary Design by Computers ,(1999)
Michael O’Neill, Anthony Brabazon, mGGA: The meta-Grammar Genetic Algorithm Lecture Notes in Computer Science. pp. 311- 320 ,(2005) , 10.1007/978-3-540-31989-4_28
John R. Koza, Genetic Programming IV: Routine Human-Competitive Machine Intelligence ,(2003)