Search Results for “Urbanowicz” – Page 2

IWLCS 2011: 14th International Workshop on Learning Classifier Systems

14TH INTERNATIONAL WORKSHOP ON LEARNING CLASSIFIER SYSTEMS to be held as part of the 2011 Genetic and Evolutionary Computation Conference (GECCO-2011) July 12-16, Dublin, Ireland Organized by ACM SIGEVO 20th International Conference on Genetic Algorithms (ICGA) and the 16th Annual Genetic Programming Conference (GP) One Conference – Many Mini-Conferences 15 Program Tracks PAPER SUBMISSION DEADLINE … Continue reading “IWLCS 2011: 14th International Workshop on Learning Classifier Systems”

Election results: IWLCS organising comittee

Thanks to everyone for voting for the next IWLCS organisational committee. There was clear support for the following three candidates: Daniele Loiacono, Albert Orriols, and Ryan Urbanowicz. Congratulations to the new committee! Will Browne will support them in a consulting role. We are grateful/thankful for all the candidates for volunteering. We look forward to their … Continue reading “Election results: IWLCS organising comittee”

GECCO-2010 Awards

Numerous awards were given at ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, Oregon. Congratulations to the winners! ACM SIGEVO GECCO Impact Award Natalio Krasnogor and Jim Smith A Memetic Algorithm with Self-Adaptive Local Search: TSP as a case study Best Paper Award Winners Ant Colony Optimization and Swarm Intelligence Manuel López-Ibáñez, Thomas […]

GAssist and GALE Now Available in Python

Ryan Urbanowicz has released Python versions of GAssits and GALE!!! Yup, so excited to see a new incarnation of GALE doing the rounds. I cannot wait to get my hands on it. Ryan has also done an excellent job porting UCS, XCS, and MCS to Python and making those implementations available via “LCS & GBML central” for […]

Python LCS Implementations (GALE & GAssist) for SNP Environment

Urbanowicz_GAssist_2010 Urbanowicz_GALE_2010 The above .zip files contain open source python implementations of existing LCS algorithms (GALE & GAssist) written/modified to accommodate SNP (single nucleotide polymorphism) gene association studies. These are the implementations used in the following paper recently accepted at PPSN: R.J. Urbanowicz, J.H Moore. The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic … Continue reading “Python LCS Implementations (GALE & GAssist) for SNP Environment”

Python LCS Implementations (XCS, UCS, MCS) for SNP Environment

Urbanowicz_XCS_2009 Urbanowicz_UCS_2009 Urbanowicz_MCS_2009 The above .zip files contain open source python implementations of existing LCS algorithms (XCS, UCS, MCS) written/modified to accommodate SNP gene association studies. These are the implementations used in the following paper published in the proceeding of GECCO 2009: R.J. Urbanowicz, J.H Moore. The Application of Michigan-Style Learning Classifier Systems to Address Genetic … Continue reading “Python LCS Implementations (XCS, UCS, MCS) for SNP Environment”