Genetic and Evolutionary Computation Conference

The Genetic and Evolutionary Computation Conference (GECCO) is the premier conference in the area of genetic and evolutionary computation. GECCO has been held every year since 1999, when it was first established as a recombination of the International Conference on Genetic Algorithms (ICGA) and the Annual Genetic Programming Conference (GP).

GECCO presents the latest high-quality results in genetic and evolutionary computation. Topics of interest include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, estimation of distribution algorithms, memetic algorithms, hyper-heuristics, evolutionary robotics, evolvable hardware, artificial life, ant colony optimization algorithms, swarm intelligence, artificial immune systems, digital entertainment technologies, evolutionary art, evolutionary combinatorial optimization, metaheuristics, evolutionary multi-objective optimization, evolutionary machine learning, search-based software engineering, theory, real-world applications, and more.

Other important conferences in the field are IEEE Congress on Evolutionary Computation (CEC), Parallel Problem Solving from Nature (PPSN) and EvoStar (a group name for four co-located conferences, EuroGP, EvoCOP, EvoMUSART, and EvoApplications).

GECCO is the main annual conference of the Special Interest Group on Genetic and Evolutionary Computation (SIGEVO), which is a Special Interest Group (SIG) of the Association for Computing Machinery (ACM). Provided by Wikipedia
Showing 1 - 7 results of 7 for search 'GECCO', query time: 0.29s Refine Results
  1. 1
    Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands
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  2. 2
    Optimal sequencing strategies for identifying disease-associated singletons.
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  3. 3
    Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data.
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  4. 4
    Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.
    by Jian Gong, Carolyn M Hutter, Polly A Newcomb, Cornelia M Ulrich, Stephanie A Bien, Peter T Campbell, John A Baron, Sonja I Berndt, Stephane Bezieau, Hermann Brenner, Graham Casey, Andrew T Chan, Jenny Chang-Claude, Mengmeng Du, David Duggan, Jane C Figueiredo, Steven Gallinger, Edward L Giovannucci, Robert W Haile, Tabitha A Harrison, Richard B Hayes, Michael Hoffmeister, John L Hopper, Thomas J Hudson, Jihyoun Jeon, Mark A Jenkins, Jonathan Kocarnik, Sébastien Küry, Loic Le Marchand, Yi Lin, Noralane M Lindor, Reiko Nishihara, Shuji Ogino, John D Potter, Anja Rudolph, Robert E Schoen, Petra Schrotz-King, Daniela Seminara, Martha L Slattery, Stephen N Thibodeau, Mark Thornquist, Reka Toth, Robert Wallace, Emily White, Shuo Jiao, Mathieu Lemire, Li Hsu, Ulrike Peters, CCFR and GECCO
    Published 2016-10-01
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  5. 5
    Genome-wide diet-gene interaction analyses for risk of colorectal cancer.
    by Jane C Figueiredo, Li Hsu, Carolyn M Hutter, Yi Lin, Peter T Campbell, John A Baron, Sonja I Berndt, Shuo Jiao, Graham Casey, Barbara Fortini, Andrew T Chan, Michelle Cotterchio, Mathieu Lemire, Steven Gallinger, Tabitha A Harrison, Loic Le Marchand, Polly A Newcomb, Martha L Slattery, Bette J Caan, Christopher S Carlson, Brent W Zanke, Stephanie A Rosse, Hermann Brenner, Edward L Giovannucci, Kana Wu, Jenny Chang-Claude, Stephen J Chanock, Keith R Curtis, David Duggan, Jian Gong, Robert W Haile, Richard B Hayes, Michael Hoffmeister, John L Hopper, Mark A Jenkins, Laurence N Kolonel, Conghui Qu, Anja Rudolph, Robert E Schoen, Fredrick R Schumacher, Daniela Seminara, Deanna L Stelling, Stephen N Thibodeau, Mark Thornquist, Greg S Warnick, Brian E Henderson, Cornelia M Ulrich, W James Gauderman, John D Potter, Emily White, Ulrike Peters, CCFR, GECCO
    Published 2014-04-01
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  6. 6
    Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data.
    by Jianxin Shi, Ju-Hyun Park, Jubao Duan, Sonja T Berndt, Winton Moy, Kai Yu, Lei Song, William Wheeler, Xing Hua, Debra Silverman, Montserrat Garcia-Closas, Chao Agnes Hsiung, Jonine D Figueroa, Victoria K Cortessis, Núria Malats, Margaret R Karagas, Paolo Vineis, I-Shou Chang, Dongxin Lin, Baosen Zhou, Adeline Seow, Keitaro Matsuo, Yun-Chul Hong, Neil E Caporaso, Brian Wolpin, Eric Jacobs, Gloria M Petersen, Alison P Klein, Donghui Li, Harvey Risch, Alan R Sanders, Li Hsu, Robert E Schoen, Hermann Brenner, MGS (Molecular Genetics of Schizophrenia) GWAS Consortium, GECCO (The Genetics and Epidemiology of Colorectal Cancer Consortium), GAME-ON/TRICL (Transdisciplinary Research in Cancer of the Lung) GWAS Consortium, PRACTICAL (PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations) Consortium, PanScan Consortium, GAME-ON/ELLIPSE Consortium, Rachael Stolzenberg-Solomon, Pablo Gejman, Qing Lan, Nathaniel Rothman, Laufey T Amundadottir, Maria Teresa Landi, Douglas F Levinson, Stephen J Chanock, Nilanjan Chatterjee
    Published 2016-12-01
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  7. 7
    Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers
    by Yan Dora Zhang, Amber N. Hurson, Haoyu Zhang, Parichoy Pal Choudhury, Douglas F. Easton, Roger L. Milne, Jacques Simard, Per Hall, Kyriaki Michailidou, Joe Dennis, Marjanka K. Schmidt, Jenny Chang-Claude, Puya Gharahkhani, David Whiteman, Peter T. Campbell, Michael Hoffmeister, Mark Jenkins, Ulrike Peters, Li Hsu, Stephen B. Gruber, Graham Casey, Stephanie L. Schmit, Tracy A. O’Mara, Amanda B. Spurdle, Deborah J. Thompson, Ian Tomlinson, Immaculata De Vivo, Maria Teresa Landi, Matthew H. Law, Mark M. Iles, Florence Demenais, Rajiv Kumar, Stuart MacGregor, D. Timothy Bishop, Sarah V. Ward, Melissa L. Bondy, Richard Houlston, John K. Wiencke, Beatrice Melin, Jill Barnholtz-Sloan, Ben Kinnersley, Margaret R. Wrensch, Christopher I. Amos, Rayjean J. Hung, Paul Brennan, James McKay, Neil E. Caporaso, Sonja I. Berndt, Brenda M. Birmann, Nicola J. Camp, Peter Kraft, Nathaniel Rothman, Susan L. Slager, Andrew Berchuck, Paul D. P. Pharoah, Thomas A. Sellers, Simon A. Gayther, Celeste L. Pearce, Ellen L. Goode, Joellen M. Schildkraut, Kirsten B. Moysich, Laufey T. Amundadottir, Eric J. Jacobs, Alison P. Klein, Gloria M. Petersen, Harvey A. Risch, Rachel Z. Stolzenberg-Solomon, Brian M. Wolpin, Donghui Li, Rosalind A. Eeles, Christopher A. Haiman, Zsofia Kote-Jarai, Fredrick R. Schumacher, Ali Amin Al Olama, Mark P. Purdue, Ghislaine Scelo, Marlene D. Dalgaard, Mark H. Greene, Tom Grotmol, Peter A. Kanetsky, Katherine A. McGlynn, Katherine L. Nathanson, Clare Turnbull, Fredrik Wiklund, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL), Renal Cancer GWAS, Testicular Cancer Consortium (TECAC), Stephen J. Chanock, Nilanjan Chatterjee, Montserrat Garcia-Closas
    Published 2020-07-01
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