@inproceedings{yoshimi:1999:ACMVPHCS, title = {A Computational Model of a Viewpoint-Forming Process in a Hierarchical Classifier System}, address = {Orlando, Florida, USA}, author = {Takahiro Yoshimi and Toshiharu Taura}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {758--766}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-871.ps}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2419e2f1dd4da35e1d30aa7aaf0092393/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @proceedings{cec:2000, title = {Proceedings of the 2000 Congress on Evolutionary Computation {CEC00}}, address = {La Jolla Marriott Hotel La Jolla, California, USA}, month = {6-9 July}, publisher = {IEEE Press}, year = 2000, isbn = {0-7803-6375-2}, size = {1584 pages}, key = {yoshihara}, biburl = {http://www.bibsonomy.org/bibtex/22c8ee772540d620bdd726a793cfc9d21/brazovayeye}, keywords = {agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design} } @inproceedings{whitley:1999:AFLPGBE, title = {A Free Lunch Proof for Gray versus Binary Encodings}, address = {Orlando, Florida, USA}, author = {D. Whitley}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {726--733}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.colostate.edu/~genitor/1999/gecco99a.pdf}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, abstract = {{"}Gray codes [better than binary] over a clear and pragmatically defined subset of all possible functions{"} p733}, biburl = {http://www.bibsonomy.org/bibtex/276a869146d135e93d3c5e669f112ae94/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{wagner:1999:HCCS, title = {Habitat, Communication and Cooperative Strategies}, address = {Orlando, Florida, USA}, author = {Kyle Wagner}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {694--701}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-842.ps}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2b6f6ed3d55625fe876d639561c70abe3/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{vrajitoru:1999:GPOAGA, title = {Genetic Programming Operators Applied to Genetic Algorithms}, address = {Orlando, Florida, USA}, author = {Dana Vrajitoru}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {686--693}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-312.ps.gz}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, abstract = {Like other learning paradigms, the performance of the genetic algorithms (GAs) is dependent on the parameter choice, on the problem representation, and on the fitness landscape. Accordingly, a GA can show good or weak results even when applied on the same problem. Following this idea, the crossover operator plays an important role, and its study is the object of the present paper. A mathematical analysis has led us to construct a new form of crossover operator inspired from genetic programming (GP) that we have already applied in field of information retrieval. In this paper we extend the previous results and compare the new operator with several known crossover operators under various experimental conditions}, biburl = {http://www.bibsonomy.org/bibtex/249c8bb3530f23fe895237fc589734c47/brazovayeye}, keywords = {systems programming, genetic classifier algorithms,} } @inproceedings{voss:1999:EAFSO, title = {Evolutionary Algorithm For Structural Optimization}, address = {Orlando, Florida, USA}, author = {Mark S. Voss and Christopher M. Foley}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {678--685}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.evolutionarystructures.com/papers/genetic.pdf}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2821a1ebd99e1b3f44b484b6cd580aa1c/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @article{Vitanyi:2000:DEP, title = {A discipline of evolutionary programming}, author = {Paul Vitanyi}, journal = {Theoretical Computer Science}, month = {28 June}, number = {1--2}, pages = {3--23}, volume = 241, year = 2000, url = {http://www.elsevier.nl/gej-ng/10/41/16/175/21/22/article.pdf}, bibdate = {Tue Oct 31 11:38:29 MST 2000}, issn = {0304-3975}, notes = {Update of \cite{alt96*67}, coden = {TCSCDI}, size = {21 pages}, abstract = {Genetic fitness optimization using small populations or small population updates across generations generally suffers from randomly diverging evolutions. We propose a notion of highly probable fitness optimization through feasible evolutionary computing runs on small size populations. Based on rapidly mixing Markov chains, the approach pertains to most types of evolutionary genetic algorithms, genetic programming and the like. We establish that for systems having associated rapidly mixing Markov chains and appropriate stationary distributions the new method finds optimal programs (individuals) with probability almost 1. To make the method useful would require a structured design methodology where the development of the program and the guarantee of the rapidly mixing property go hand in hand. We analyze a simple example to show that the method is implementable. More significant examples require theoretical advances, for example with respect to the Metropolis filter.}, biburl = {http://www.bibsonomy.org/bibtex/23c6e75e2c0433cd977a2a9c60c559af4/brazovayeye}, keywords = {Complexity, Learning, Evolutionary Multiagent Structures Algorithms, Computing, and Data Neural programming, Intelligence, genetic Artificial Computational algorithms, Systems} } @inproceedings{vekaria:1999:BIARO, title = {Biases Introduced by Adaptive Recombination Operators}, address = {Orlando, Florida, USA}, author = {Kanta Vekaria and Chris Clack}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {670--677}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {ftp://bells.cs.ucl.ac.uk/functional/papers/Published/gecco99.ps}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2168a9e6aa0a5308f40e9430b7a23b3b2/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{tsutsui:1999:MRSCRCGA, title = {Multi-parent Recombination with Simplex Crossover in Real Coded Genetic Algorithms}, address = {Orlando, Florida, USA}, author = {Shigeyoshi Tsutsui and Masayuki Yamamura and Takahide Higuchi}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {657--664}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.hannan-u.ac.jp/~tsutsui/ps/icga99.pdf}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/21ac877589709a0fe6d89ccf865b4efcd/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{tomlinson:1999:OCCSIBRL, title = {On Corporate Classifier Systems: Increasing the Benefits of Rule Linkage}, address = {Orlando, Florida, USA}, author = {Andy Tomlinson and Larry Bull}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {649--656}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2ddefebe87d053f8491d07480c2d828a9/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{thierens:1999:ESNGP, title = {Estimating the Significant Non-Linearities in the Genome Problem-Coding}, address = {Orlando, Florida, USA}, author = {Dirk Thierens}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {643--648}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-810.pdf}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/28135f3c4576a1a52db2e7371786669dd/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{terashima-marin:1999:ECSSET, title = {Evolution of Constraint Satisfaction Strategies in Examination Timetabling}, address = {Orlando, Florida, USA}, author = {Hugo Terashima-Marin and Peter Ross and Manuel Valenzuela-Rendon}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {635--642}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-825.ps}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/206859b7dabff0d0eea2e4c1d25031c15/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{sugai:1999:SEHP, title = {Stochastic Evolution on the Hierarchical Population}, address = {Orlando, Florida, USA}, author = {Koji Sugai}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {628--634}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2829f9b0ee02bbcc4cdc7372c5dc8bf9e/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{Spohn:1997:csec, title = {Complexity of Strategies and the Evolution of Cooperation}, address = {Stanford University, CA, USA}, author = {Bryan G. Spohn and Philip H. Crowley}, booktitle = {Genetic Programming 1997: Proceedings of the Second Annual Conference}, editor = {John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo}, month = {13-16 July}, publisher = {Morgan Kaufmann}, year = 1997, address = {San Francisco, CA, USA}, notes = {GP-97}, biburl = {http://www.bibsonomy.org/bibtex/26e09392a8f874d2ada49047809af8835/brazovayeye}, keywords = {systems genetic classifier algorithms,} } @inproceedings{simoes:1999:TCAES, title = {Transposition versus Crossover: An Empirical Study}, address = {Orlando, Florida, USA}, author = {Anabela Borges Simoes and Ernesto Costa}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {612--619}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://eden.dei.uc.pt/~ernesto/EvoCo/papers/papers/1999/gecco99_2.pdf}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/278c98096b8864744bd13323d1753f548/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{conf/ideal/ShumLW05, title = {Co-evolutionary Rule-Chaining Genetic Programming}, address = {Brisbane, Australia}, author = {Wing-Ho Shum and Kwong-Sak Leung and Man Leung Wong}, booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Proceedings}, editor = {Marcus Gallagher and James M. Hogan and Fr{\'e}d{\'e}ric Maire}, month = {July 6-8}, pages = {546--554}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 3578, year = 2005, bibdate = {2005-06-23}, isbn = {3-540-26972-X}, doi = {doi:10.1007/11508069_71}, size = {9 pages}, abstract = {Genetic Programming (GP) paradigm called Co-evolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes represented by a set of classification rules for multi-class problems. It employs backward chaining inference to carry out classification based on the acquired acyclic rule set. Its main advantages are: 1) it can handle more than one class at a time; 2) it avoids cyclic result; 3) unlike Bayesian Network (BN), the CRGP can handle input attributes with continuous values directly; and 4) with the flexibility of GP, CRGP can learn complex relationship. We have demonstrated its better performance on one synthetic and one real-life medical data sets.}, biburl = {http://www.bibsonomy.org/bibtex/2abd1f5d545a13a95e02706db78392283/brazovayeye}, keywords = {Agents programming, genetic algorithms, Systems Complex and} } @inproceedings{shimodaira:1999:ADCOGADER, title = {A Diversity Control Oriented Genetic Algorithm ({DCGA}): Development and Experimental Results}, address = {Orlando, Florida, USA}, author = {Hisashi Shimodaira}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {603--611}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/2272cee2b2193c351a792517311928988/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{sawai:1999:PDPPHMM, title = {Parallel Distributed Processing of a Parameter-free Hierarchical Migration Methods}, address = {Orlando, Florida, USA}, author = {Hidefumi Sawai and Susumu Adachi}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {579--586}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-852.ps}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/28e072983185942be740a621f7b48d424/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{sarma:1999:TBSDEANE, title = {The Behavior of Spatially Distributed Evolutionary Algorithms in Non-Stationary Environments}, address = {Orlando, Florida, USA}, author = {Jayshree Sarma and Kenneth {De Jong}}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith}, month = {13-17 July}, pages = {572--578}, publisher = {Morgan Kaufmann}, volume = 1, year = 1999, url = {http://www.cs.gmu.edu/~eclab/papers/sarma_icga99.ps.gz}, address = {San Francisco, CA 94104, USA}, isbn = {1-55860-611-4}, biburl = {http://www.bibsonomy.org/bibtex/23d42f3376c11f8e96832b0c1b52c63ba/brazovayeye}, keywords = {systems genetic classifier algorithms and} } @inproceedings{sarafopoulos:2001:EuroGP, title = {Evolution of Affine Transformations and Iterated Function Systems using Hierarchical Evolution Strategy}, address = {Lake Como, Italy}, author = {Anargyros Sarafopoulos}, booktitle = {Genetic Programming, Proceedings of EuroGP'2001}, editor = {Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon}, month = {18-20 April}, pages = {176--191}, publisher = {Springer-Verlag}, series = {LNCS}, volume = 2038, year = 2001, url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=176}, address = {Berlin}, isbn = {3-540-41899-7}, organisation = {EvoNET}, size = {16 pages}, abstract = {Often optimization problems involve the discovery of many scalar coefficients. Although genetic programming (GP) has been applied to the optimization and discovery of functions with an arbitrary number of scalar coefficients, recent results indicate that a method for fine-tuning GP scalar terminals can assist the discovery of solutions. In this paper we demonstrate an approach where genetic programming and evolution strategies (ES) are seamlessly combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering better solutions and speed.}, biburl = {http://www.bibsonomy.org/bibtex/287eacc0a6d7d77e594a96e4180898faa/brazovayeye}, keywords = {Strategies, Strongly Typed programming, Iterated genetic Function algorithms, Systems GP, STGP, Evolution} }