Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its application to event selection in ...high energy physics data analysis is presented using as an example application the selection of
K
S
particles produced in
e
+
e
−
interactions at 10 GeV and reconstructed in the decay mode
K
S
→
π
+
π
−
. The algorithm was used for automatic identification of classification criteria for signal/background separation. For the problem studied and for data samples with signal to background ratios between 0.25 and 5, the classification accuracy obtained with the criteria developed by the GEP algorithm was in the range of 92–95%.
This article addresses trends and perspectives in didactic evaluation in technical higher education and in order to assist teachers in their continuous training through the results obtained. Thus, ...263 students from Politehnnica University of Timisoara were interviewed. The research tool was a questionnaire with 25 items, of which 5 were factual. The issues addressed were related to an analysis of the state of affairs of the evaluation, as well as the proposals made by the interviewees to improve the evaluation. The suggested changes tackle a greater understanding and empathy on the teachers’ part, their objectivity, as well as a better correlation of the evaluation with the students’ psychological and personality traits. Regarding evaluation, particularly interesting was the suggestion of replacing teachers with senior students or even with computers. On the other hand, there is a reluctance of respondents to replace evaluators with intelligence devices or gadgets. The article can also be a starting point for future indepth research on the matter of evaluation.
Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy ...physics data analysis is presented. The algorithm was successfully used for event selection on samples with both low and high background level. It allowed automatic identification of selection rules that can be interpreted as cuts applied on the input variables. The signal/background classification accuracy was over 90% in all cases
This volume of Journal of Physics: Conference Series is based on papers presented at the Eurotherm Conference 95: Computational Thermal Radiation in Participating Media IV, which was held in Nancy, ...France, on 18–20 April 2012. This seminar was the fourth in a series after Mons, Belgium (Eurotherm Seminar 73, April 2003), Poitiers, France (Eurotherm Seminar 78, April 2006) and Lisbon, Portugal (Eurotherm Seminar 83, April 2009). Around 70 contributions were received during the conference preparation, including submissions for oral and poster presentations. A first selection process based on abstracts and a second based on two peer-reviews of the full papers finally resulted in the acceptance of 38 contributions from oral presentations and 11 from poster presentations. The conference was attended by almost 80 scientists from 17 different countries: Austria, Belgium, Brazil, Canada, Chile, China, France, Germany, India, Poland, Portugal, Russia, Switzerland, The Netherlands, Tunisia, Turkey and USA. The 30 contributions presented in this volume relate to the following main topics: Radiative transfer in complex media Applications, combustion and high temperatures Inverse methods New developments for RTE solution Gas radiation modeling Particles, droplets and dispersed systems Monte Carlo methods The conference organizers gratefully acknowledge the members of the scientific committee and the experts who carried out the reviews of the papers, and the local organizing committee for their preparation of the conference. Also acknowledged are the support by the LEMTA, the Société Française de Thermique, ICHMT, the sponsorship of CNRS and the Lorraine Region, and the financial contributions of the Université de Lorraine, FLIR, Baccarat and the city of Nancy. Conference Chairs P BouletLEMTA, Nancy, France D LemonnierInstitut P', Poitiers, France N SelçukMiddle East Technical University, Ankara, Turkey P LybaertFaculté Polytechnique de Mons, Belgium International Scientific Committee R BialeckiSTU Gliwice, Poland P CoehloInstituto Superior Tecnico, Lisboa, Portugal L A DombrovskyIHT, Moscow, Russia M El HafiENSTIMAC, Albi, France J HowellUniversity of Texas, Austin, USA S KumarPolytechnic University of New York, USA W LipinskiUniversity of Minnesota, USA F LiuInstitute for Chemical Process and Environmental Technology, Canada W MalalasekeraLoughborough University, UK S MaruyamaInstitute of Fluid Science, Tohoku, Japan M P MengüçOzyeğin University, Istanbul, Turkey M MishchenkoNASA Goddard Institute, USA M F ModestUniversity of California, USA L PilonUniversity of California, Los Angeles, USA S RukolaineIoffe Institute, St Petersburg, Russia C SalinasUniversity of Campinas, Sao Paulo, Brazil A SoufianiÉcole Centrale, Paris, France R VaillonCETHIL INSA, Lyon, France B WebbBrigham Young University, USA Z ZhangGeorgia Institute of Technology, USA H C ZhouHuazhong University of Science and Technology, Wuhan, China Guest Editors P Boulet Université de Lorraine, LEMTA, CNRS, France pascal.boulet@univ-lorraine.fr D Lacroix Université de Lorraine, LEMTA, CNRS, France david.lacroix@univ-lorraine.fr D Lemonnier PPrime Institute, CNRS -- ENSMA, University of Poitiers, France denis.lemonnier@ensma.fr P Lybaert UMONS, Thermal Engineering and Combustion Laboratory, Belgium paul.lybaert@umons.ac.be N Selçuk Middle East Technical University, Turkey selcuk@metu.edu.tr
This volume of Journal of Physics: Conference Series is dedicated to scientific contributions presented at the 14th International Workshop on Advanced Computing and Analysis Techniques in Physics ...Research (ACAT 2011) which took place on 5–7 September 2011 at Brunel University, UK. The workshop series, which began in 1990 in Lyon, France, brings together computer science researchers and practitioners, and researchers from particle physics and related fields in order to explore and confront the boundaries of computing and of automatic data analysis and theoretical calculation techniques. It is a forum for the exchange of ideas among the fields, exploring and promoting cutting-edge computing, data analysis and theoretical calculation techniques in fundamental physics research. This year's edition of the workshop brought together over 100 participants from all over the world. 14 invited speakers presented key topics on computing ecosystems, cloud computing, multivariate data analysis, symbolic and automatic theoretical calculations as well as computing and data analysis challenges in astrophysics, bioinformatics and musicology. Over 80 other talks and posters presented state-of-the art developments in the areas of the workshop's three tracks: Computing Technologies, Data Analysis Algorithms and Tools, and Computational Techniques in Theoretical Physics. Panel and round table discussions on data management and multivariate data analysis uncovered new ideas and collaboration opportunities in the respective areas. This edition of ACAT was generously sponsored by the Science and Technology Facility Council (STFC), the Institute for Particle Physics Phenomenology (IPPP) at Durham University, Brookhaven National Laboratory in the USA and Dell. We would like to thank all the participants of the workshop for the high level of their scientific contributions and for the enthusiastic participation in all its activities which were, ultimately, the key factors in the success of the workshop. Further information on ACAT 2011 can be found at http://acat2011.cern.ch Dr Liliana Teodorescu Brunel University The PDF also contains details of the workshop's committees and sponsors.
Gene Expression Programming is an evolutionary algorithm developed in 2001. For a number of benchmark applications, it is a few order of magnitude more efficient that the better known genetic ...algorithms and genetic programming. The algorithm was recently successfully tested in particle physics for signal and background classification. The present paper presents a software implementation of this algorithm, adequate for the analysis of particle physics data.
Gene expression programming is a new evolutionary algorithm that overcomes many limitations of the more established genetic algorithms and genetic programming. Its first application to high energy ...physics data analysis is presented. The algorithm was successfully used for event selection on samples with both low and high background level. The signal/background classification accuracy was over 90% in all cases.
Gene Expression Programming is a new evolutionary algorithm found to be very efficient for solving benchmark problems from computer science. The algorithm was also successfully tested for event ...selection in high energy physics data analysis. This paper presents an extended event selection analysis with this algorithm, as well as a comparison of its results with those obtained with an artificial neural network. Both methods produced selection functions that allowed high classification accuracies, around 95%.
Evolutionary Computation is a branch of computer science with which, traditionally, High Energy Physics has fewer connections. Its methods were investigated in this field, mainly for data analysis ...tasks. These methods and studies are, however, less known in the high energy physics community and this motivated us to prepare this lecture. The lecture presents a general overview of the main types of algorithms based on Evolutionary Computation, as well as a review of their applications in High Energy Physics.
Nucl.Phys.Proc.Suppl.142:209-214,2005 A review of recent results on branching fractions and time-integrated CP
asymmetries of rare B_u and B_d decays to mesonic final states from BABAR,
Belle and ...CLEO experiments is presented.
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