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11th IFAC Workshop on Intelligent Manufacturing Systems, IMS 2013

作者： Junior, Bonfim A. Pinheiro, Placido R. Saraiva, Rommel D. Graduate Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - J30 60.811-905 Fortaleza Brazil

ISBN: (纸本)9783902823335

This paper presents a hybrid approach for tackling the irregular strip packing problem, which requires a set of polygons to be placed within a rectangular object. The methodology includes a meta-heuristic engine (e.g., a genetic algorithm) that determines the order in which polygons are handled by a placement heuristic. In addition, differently from several approaches presented in the literature, we investigate the application of the no-fit polygon as a placement tool for obtaining local optima. The results are further improved by a shrinking algorithm that works within the meta-heuristic component. To assess the potentials of the proposed methodology, computational experiments performed on a set of difficult benchmark instances of the irregular strip packing problem are discussed here for evaluation purposes. © 2013 IFAC.

关键词： Genetic algorithms

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Tackling the Irregular Strip Packing problem by hybridizing genetic algorithm and bottom-left heuristic

Tackling the Irregular Strip Packing problem by hybridizing ...

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Congress on Evolutionary Computation

作者： Bonfim A. Junior Plácido R. Pinheiro Rommel D. Saraiva Graduate Program in Applied Informatics University of Fortaleza Fortaleza Brazil

ISBN: (纸本)9781479904532

This paper addresses the Irregular Strip Packing problem, a particular case of Cutting and Packing problems in which a set of polygons has to be packed within a rectangular object. To identify good quality solutions, we propose a hybrid methodology based on a meta-heuristic engine (i.e., Genetic Algorithm) and a well known placement heuristic called Bottom-Left. In addition, differently from several approaches presented in the literature, we investigate the application of the No-fit Polygon as a placement tool for obtaining local optima. The results are further improved by a shrinking algorithm that works within the meta-heuristic component. To assess the potentials of the proposed methodology, computational experiments performed on a set of difficult benchmark instances of the Irregular Strip Packing problem are discussed here for evaluation purposes.

关键词： Genetic algorithms Strips Layout Biological cells Shape Benchmark testing Search methods

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Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

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Nature communications 2019年第1期10卷 2068页

作者： Gail Davies Max Lam Sarah E Harris Joey W Trampush Michelle Luciano W David Hill Saskia P Hagenaars Stuart J Ritchie Riccardo E Marioni Chloe Fawns-Ritchie David C M Liewald Judith A Okely Ari V Ahola-Olli Catriona L K Barnes Lars Bertram Joshua C Bis Katherine E Burdick Andrea Christoforou Pamela DeRosse Srdjan Djurovic Thomas Espeseth Stella Giakoumaki Sudheer Giddaluru Daniel E Gustavson Caroline Hayward Edith Hofer M Arfan Ikram Robert Karlsson Emma Knowles Jari Lahti Markus Leber Shuo Li Karen A Mather Ingrid Melle Derek Morris Christopher Oldmeadow Teemu Palviainen Antony Payton Raha Pazoki Katja Petrovic Chandra A Reynolds Muralidharan Sargurupremraj Markus Scholz Jennifer A Smith Albert V Smith Natalie Terzikhan Anbupalam Thalamuthu Stella Trompet Sven J van der Lee Erin B Ware B Gwen Windham Margaret J Wright Jingyun Yang Jin Yu David Ames Najaf Amin Philippe Amouyel Ole A Andreassen Nicola J Armstrong Amelia A Assareh John R Attia Deborah Attix Dimitrios Avramopoulos David A Bennett Anne C Böhmer Patricia A Boyle Henry Brodaty Harry Campbell Tyrone D Cannon Elizabeth T Cirulli Eliza Congdon Emily Drabant Conley Janie Corley Simon R Cox Anders M Dale Abbas Dehghan Danielle Dick Dwight Dickinson Johan G Eriksson Evangelos Evangelou Jessica D Faul Ian Ford Nelson A Freimer He Gao Ina Giegling Nathan A Gillespie Scott D Gordon Rebecca F Gottesman Michael E Griswold Vilmundur Gudnason Tamara B Harris Annette M Hartmann Alex Hatzimanolis Gerardo Heiss Elizabeth G Holliday Peter K Joshi Mika Kähönen Sharon L R Kardia Ida Karlsson Luca Kleineidam David S Knopman Nicole A Kochan Bettina Konte John B Kwok Stephanie Le Hellard Teresa Lee Terho Lehtimäki Shu-Chen Li Christina M Lill Tian Liu Marisa Koini Edythe London Will T Longstreth Oscar L Lopez Anu Loukola Tobias Luck Astri J Lundervold Anders Lundquist Leo-Pekka Lyytikäinen Nicholas G Martin Grant W Montgomery Alison D Murray Anna C Need Raymond Noordam Lars Nyberg William Ollier Goran Papenberg Alison Pattie Ozren Polasek Russell A Poldrack Bruce M Psaty Sim Centre for Cognitive Ageing and Cognitive Epidemiology Department of Psychology School of Philosophy Psychology and Language Sciences The University of Edinburgh Edinburgh EH8 9JZ UK. Institute of Mental Health Singapore 539747 Singapore. Medical Genetics Section Centre for Genomic & Experimental Medicine MRC Institute of Genetics & Molecular Medicine University of Edinburgh Western General Hospital Edinburgh EH4 2XU UK. BrainWorkup LLC Los Angeles 90033 CA USA. Department of Psychiatry and Behavioral Sciences Keck School of Medicine University of Southern California Los Angeles 90033 CA USA. Social Genetic and Developmental Psychiatry Centre Institute of Psychiatry Psychology & Neuroscience King's College London De Crespigny Park Denmark Hill London SE5 8AF UK. Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku 20520 Finland. Department of Internal Medicine Satakunta Central Hospital Pori 28100 Finland. Centre for Global Health Research Usher Institute of Population Health Sciences and Informatics University of Edinburgh Teviot Place Edinburgh EH8 9AG Scotland. Max Planck Institute for Molecular Genetics Berlin 14195 Germany. Cardiovascular Health Research Unit Department of Medicine University of Washington Seattle 98101 Washington USA. Department of Psychiatry Icahn School of Medicine at Mount Sinai New York 10029 NY USA. Mental Illness Research Education and Clinical Center (VISN 3) James J. Peters VA Medical Center Bronx 10468 NY USA. Department of Psychiatry Brigham and Women's Hospital Harvard Medical School Boston 02115 MA USA. NORMENT K.G. Jebsen Centre for Psychosis Research Department of Clinical Science University of Bergen Bergen 5021 Norway. Dr. Einar Martens Research Group for Biological Psychiatry Center for Medical Genetics and Molecular Medicine Haukeland University Hospital Bergen 5020 Norway. Center for Psychiatric Neuroscience Feinstein Institute for Medical Resea

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions...

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Author Correction: Germline variation at 8q24 and prostate cancer risk in men of European ancestry

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Nature communications 2019年第1期10卷 382页

作者： Marco Matejcic Edward J Saunders Tokhir Dadaev Mark N Brook Kan Wang Xin Sheng Ali Amin Al Olama Fredrick R Schumacher Sue A Ingles Koveela Govindasami Sara Benlloch Sonja I Berndt Demetrius Albanes Stella Koutros Kenneth Muir Victoria L Stevens Susan M Gapstur Catherine M Tangen Jyotsna Batra Judith Clements Henrik Gronberg Nora Pashayan Johanna Schleutker Alicja Wolk Catharine West Lorelei Mucci Peter Kraft Géraldine Cancel-Tassin Karina D Sorensen Lovise Maehle Eli M Grindedal Sara S Strom David E Neal Freddie C Hamdy Jenny L Donovan Ruth C Travis Robert J Hamilton Barry Rosenstein Yong-Jie Lu Graham G Giles Adam S Kibel Ana Vega Jeanette T Bensen Manolis Kogevinas Kathryn L Penney Jong Y Park Janet L Stanford Cezary Cybulski Børge G Nordestgaard Hermann Brenner Christiane Maier Jeri Kim Manuel R Teixeira Susan L Neuhausen Kim De Ruyck Azad Razack Lisa F Newcomb Davor Lessel Radka Kaneva Nawaid Usmani Frank Claessens Paul A Townsend Manuela Gago-Dominguez Monique J Roobol Florence Menegaux Kay-Tee Khaw Lisa A Cannon-Albright Hardev Pandha Stephen N Thibodeau Daniel J Schaid Fredrik Wiklund Stephen J Chanock Douglas F Easton Rosalind A Eeles Zsofia Kote-Jarai David V Conti Christopher A Haiman Department of Preventive Medicine Keck School of Medicine University of Southern California/Norris Comprehensive Cancer Center Los Angeles CA 90033 USA. The Institute of Cancer Research London SW7 3RP UK. Centre for Cancer Genetic Epidemiology Department of Public Health and Primary Care Strangeways Research Laboratory University of Cambridge Cambridge CB1 8RN UK. Department of Clinical Neurosciences University of Cambridge Cambridge CB2 0QQ UK. Department of Population and Quantitative Health Sciences Case Western Reserve University Cleveland OH 44106-7219 USA. Seidman Cancer Center University Hospitals Cleveland OH 44106 USA. Division of Cancer Epidemiology and Genetics National Cancer Institute NIH Bethesda MD 20892 USA. Institute of Population Health University of Manchester Manchester M13 9PL UK. Warwick Medical School University of Warwick Coventry CV4 7AL UK. Epidemiology Research Program American Cancer Society 250 Williams Street Atlanta GA 30303 USA. SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle WA 98109 USA. Australian Prostate Cancer Research Centre-Qld Institute of Health and Biomedical Innovation and School of Biomedical Science Queensland University of Technology Brisbane QLD 4059 Australia. Translational Research Institute Brisbane QLD 4102 Australia. Department of Medical Epidemiology and Biostatistics Karolinska Institute SE-171 77 Stockholm Sweden. Centre for Cancer Genetic Epidemiology Department of Oncology Strangeways Laboratory University of Cambridge Cambridge CB1 8RN UK. Department of Applied Health Research University College London London WC1E 7HB UK. Department of Medical Biochemistry and Genetics Institute of Biomedicine University of Turku FI-20014 Turku Finland. Tyks Microbiology and Genetics Department of Medical Genetics Turku University Hospital 20521 Turku Finland. BioMediTech University of Tampere 33520 Tampere Finland. Division of Nutritional Epidemiology Insti

The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML v...

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Author Correction: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

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Nature genetics 2019年第9期51卷 1423-1424页

作者： Brian W Kunkle Benjamin Grenier-Boley Rebecca Sims Joshua C Bis Vincent Damotte Adam C Naj Anne Boland Maria Vronskaya Sven J van der Lee Alexandre Amlie-Wolf Céline Bellenguez Aura Frizatti Vincent Chouraki Eden R Martin Kristel Sleegers Nandini Badarinarayan Johanna Jakobsdottir Kara L Hamilton-Nelson Sonia Moreno-Grau Robert Olaso Rachel Raybould Yuning Chen Amanda B Kuzma Mikko Hiltunen Taniesha Morgan Shahzad Ahmad Badri N Vardarajan Jacques Epelbaum Per Hoffmann Merce Boada Gary W Beecham Jean-Guillaume Garnier Denise Harold Annette L Fitzpatrick Otto Valladares Marie-Laure Moutet Amy Gerrish Albert V Smith Liming Qu Delphine Bacq Nicola Denning Xueqiu Jian Yi Zhao Maria Del Zompo Nick C Fox Seung-Hoan Choi Ignacio Mateo Joseph T Hughes Hieab H Adams John Malamon Florentino Sanchez-Garcia Yogen Patel Jennifer A Brody Beth A Dombroski Maria Candida Deniz Naranjo Makrina Daniilidou Gudny Eiriksdottir Shubhabrata Mukherjee David Wallon James Uphill Thor Aspelund Laura B Cantwell Fabienne Garzia Daniela Galimberti Edith Hofer Mariusz Butkiewicz Bertrand Fin Elio Scarpini Chloe Sarnowski Will S Bush Stéphane Meslage Johannes Kornhuber Charles C White Yuenjoo Song Robert C Barber Sebastiaan Engelborghs Sabrina Sordon Dina Voijnovic Perrie M Adams Rik Vandenberghe Manuel Mayhaus L Adrienne Cupples Marilyn S Albert Peter P De Deyn Wei Gu Jayanadra J Himali Duane Beekly Alessio Squassina Annette M Hartmann Adelina Orellana Deborah Blacker Eloy Rodriguez-Rodriguez Simon Lovestone Melissa E Garcia Rachelle S Doody Carmen Munoz-Fernadez Rebecca Sussams Honghuang Lin Thomas J Fairchild Yolanda A Benito Clive Holmes Hata Karamujić-Čomić Matthew P Frosch Hakan Thonberg Wolfgang Maier Gennady Roshchupkin Bernardino Ghetti Vilmantas Giedraitis Amit Kawalia Shuo Li Ryan M Huebinger Lena Kilander Susanne Moebus Isabel Hernández M Ilyas Kamboh RoseMarie Brundin James Turton Qiong Yang Mindy J Katz Letizia Concari Jenny Lord Alexa S Beiser C Dirk Keene Seppo Helisalmi Iwona Kloszewska Walter A Kukull Anne Maria Koivisto Aoibhin John P. Hussman Institute for Human Genomics University of Miami Miller School of Medicine Miami FL USA. bkunkle@miami.edu. Inserm U1167 RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases Lille France. Institut Pasteur de Lille Lille France. Univ. Lille U1167-Excellence Laboratory LabEx DISTALZ Lille France. Division of Psychological Medicine and Clinical Neurosciences MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK. UK Dementia Research Institute at Cardiff Cardiff University Cardiff UK. Cardiovascular Health Research Unit Department of Medicine University of Washington Seattle WA USA. Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Centre National de Recherche en Génomique Humaine Institut de Biologie François Jacob CEA Université Paris-Saclay and LabEx GENMED Evry France. Department of Epidemiology Erasmus Medical Center Rotterdam the Netherlands. Penn Neurodegeneration Genomics Center Department of Pathology and Laboratory Medicine University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Framingham Heart Study Framingham MA USA. Department of Neurology Boston University School of Medicine Boston MA USA. John P. Hussman Institute for Human Genomics University of Miami Miller School of Medicine Miami FL USA. Neurodegenerative Brain Diseases Group Center for Molecular Neurology VIB Antwerp Belgium. Laboratory for Neurogenetics Institute Born-Bunge University of Antwerp Antwerp Belgium. Icelandic Heart Association Kopavogur Iceland. Research Center and Memory Clinic of Fundació ACE Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya Barcelona Spain. Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas Instituto de Salud Carlos III Madrid Spain. Department of Biostatistics Boston University Sch

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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A Hybrid Methodology for Nesting Irregular Shapes: Case Study on a Textile Industry *

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IFAC Proceedings Volumes 2013年第24期46卷 15-20页

作者： Bonfim A. Junior Plácido R. Pinheiro Rommel D. Saraiva Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - J30 60.811-905 Fortaleza – Brazil

The aim of this paper is to describe a hybrid methodology that combines a Genetic Algorithm and a Bottom-Left Greedy procedure for solving the two-dimensional Nesting Problem. The No-Fit Polygon construct is applied for obtaining local optima. Furthermore, a shrinking algorithm is incorporated to the metaheuristic engine to identify good quality solutions. Computational experiments performed on standard benchmark problems, as well as a practical case study developed in a textile industry, are also reported and discussed here in a manner as to testify the potentialities behind the novel approach.

关键词： Cutting and Packing Nesting Problem Industrial Applications Hybrid Methods Genetic Algorithm

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A Hybrid Methodology for Tackling the Irregular Strip Packing Problem *

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IFAC Proceedings Volumes 2013年第7期46卷 396-401页

作者： Bonfim A. Junior Plácido R. Pinheiro Rommel D. Saraiva Graduate Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - J30 60.811-905 Fortaleza - Brazil

关键词： Cutting and Packing Nesting and Irregular Shapes Packing Industrial Applications Hybrid Methods Genetic Algorithm

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Dealing the Selection of Project Management through Hybrid Model of Verbal Decision Analysis

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Procedia Computer Science 2013年 17卷 332-339页

作者： Plácido Rogerio Pinheiro Thais Cristina Sampaio Machado Isabelle Tamanini University of Fortaleza (UNIFOR) Graduate Program in Applied Informatics Av. Washington Soares 1321 - Bl J Sl 30 - 60.811-905 Fortaleza Brazil

The decision may be defined as a result of a process of choice, given an identified problem or when the decision maker faces an opportunity of creation, optimization or improvement in an environment. Considering that agile methodologies, in focus Framework SCRUM, are always more popular in Development Software Companies, and noticing that the mentioned companies cannot always apply every characteristics of the framework, this paper presents an hybrid application of methodologies from Verbal Decision Analysis (VDA) framework to select some of the SCRUM approaches to be applied in the company, considering the elicitation of preferences of a decision maker. The work intends to provide an evaluation of Project Management approaches applied in the Software Development and examine them toward to identify which are the most preferable ones, aided by the application of a hybrid model of decision making. The hybrid model aims at classifying alternatives using ORCLASS method, through the developed software, and ranking them using a Verbal Decision Analysis method (ZAPROS III-i). Afterward, Specific Practices (SP) of Capability Maturity Model Integration (CMMi) level 2 were chosen, and approaches to attend the SP's were ranked from the most preferable to the least preferable ones, aiming to help enterprises which are not able to reach a complete CMMi qualification.

关键词： Verbal Decision Analysis ZAPROS III-i ORCLASS Project Management Specific Practices Capability Maturity Model Integration

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TREXCLOUD: Java EE IaaS Cloud Deployment Made Easy

TREXCLOUD: Java EE IaaS Cloud Deployment Made Easy

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IEEE International Conference on Cloud Computing, CLOUD

作者： Roberto Costa Lima Ricardo Hollanda Filho Américo Sampaio Nabor Mendonça E-Novar Solucoes Tecnologicas Fortaleza Brazil Postgraduate Program in Applied Informatics University of Fortaleza (UNIFOR) Fortaleza Brazil

Cloud computing is becoming mainstream in software development, with many organizations now considering migrating their applications to the cloud. However, the task of deploying Java Enterprise Edition (JEE) applications in infrastructure-as-a-service (IaaS) clouds is generally daunting due to a number of manual steps necessary to configure all application components as a set of virtual machine images. This work presents a tool, TREXCLOUD, which supports the task of deploying a fully functional Java Enterprise application in IaaS clouds with a few clicks. TREX Cloud enables users to easily upload a set of files that contain the application components (e.g.,. war files, database back up, context files) so that the tool automatically deploys and configures the whole application stack in an IaaS provider selected by the user. An empirical study shows how TREXCLOUD enables users, independently of their level of expertise, to quickly deploy a complete JEE application in the Amazon cloud when compared to two different approaches: Amazon EC2 dashboard and Amazon Elastic Beanstalk.

关键词： Databases Servers Java Software Virtual machining Calendars Context

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