Tag: Genetic

  • 23andMe+ Premium Membership Bundle – DNA Kit with Personal Genetic Insights Including Health + Ancestry Service Plus 1-Year Access to Exclusive Reports (Before You Buy See Important Test Info Below)


    Price: $199.00
    (as of Jan 28,2025 21:15:44 UTC – Details)



    Membership auto-renews at then-current rate, unless canceled in advance. Once a 23andMe+ Premium membership has ended, customer will lose access to 23andMe+ Premium reports and features; customer will retain access to Health+Ancestry Service reports and features. Terms apply. For use in the USA only – kits shipped or used outside the US will be invalidated and no refund will be provided. Kits may not be redistributed or resold. 23andMe Claim Substantiation for “80% get genetically meaningful health info.” Date range: August 2020 – August 2021. Source: 23andMe internal data. “92% of doctors say genetics is an important part of a patient’s complete health picture.” Based on 2022 surveys, designed by 23andMe, Medscape, and Material Holdings LLC, of approximately 1,000 doctors and approximately 1,500 patients.
    Product Dimensions ‏ : ‎ 6.5 x 5 x 1.3 inches; 3.84 ounces
    Item model number ‏ : ‎ HUAU-S0-N08
    Date First Available ‏ : ‎ June 9, 2021
    Manufacturer ‏ : ‎ 23andMe
    ASIN ‏ : ‎ B096XB53YW

    IMPORTANT: There is a lot to consider with genetic testing. Please review important information about Pharmacogenetics*, Carrier Status* and Genetic Health Risk* reports. Before purchasing, review important information at 23andme. com/test-info/pharmacogenetics and 23andme. com/test-info. A portion of your purchase may be eligible for FSA/HSA reimbursement***.
    PREMIUM REPORTS & FEATURES: Fuel your health journey with ongoing value. 1-year membership with access to 190+ reports and NEW FEATURES Health TracksSM and Health Action Plan – recommendations based on genetic and non-genetic data, including blood test data. Receive personalized genetic reports Powered by 23andMe Research on heart health, anxiety, migraine & more. Learn how your DNA may impact the way your body processes certain medications.** Valid payment method required at kit registration.
    PLUS FULL HEALTH + ANCESTRY SERVICE: Learn how genetics can influence your chances of developing certain health conditions.* Find out if you’re a carrier for certain inherited conditions.* Get meaningful DNA insights about your well-being and how it can influence certain lifestyle choices.
    ANCESTRY FEATURES: Dig deeper into your ancestry with the most comprehensive ancestry breakdown. Go back in time with the Ancestry Timeline to gain a clearer picture of where your ancestors lived. Discover your historical relatives from hundred of years ago with Historical Matches℠. Explore your family origins with the Haplogroup feature. Opt-in to DNA Relative Finder to find and connect with people who share your DNA. The automatic Family Tree feature makes it easy to see your DNA relationships.
    PRIVATE AND PROTECTED: Know that you are in control of your DNA. Discovery should never come at the expense of privacy. Your data is encrypted, protected, and under your control. You decide what you want to learn and what you want to share. Subject to 23andMe’s Terms of Service at 23andme. com/tos and Privacy Statement at 23andme. com/about/privacy.


    Thinking about purchasing the 23andMe+ Premium Membership Bundle? Before you make your decision, here’s everything you need to know about this DNA kit with personal genetic insights, health and ancestry services, and 1-year access to exclusive reports.

    What’s included in the bundle:
    – A DNA kit that provides detailed insights into your genetic makeup, including information on health risks, carrier status for certain conditions, and ancestry composition.
    – Personalized health reports that can help you better understand your genetic predispositions and make informed decisions about your lifestyle and healthcare.
    – Ancestry reports that trace your genetic heritage and connect you with relatives who share your DNA.
    – 1-year access to exclusive reports that provide ongoing updates and new insights based on the latest scientific research.

    Before you buy, here are some important things to consider:
    – The 23andMe+ Premium Membership Bundle is designed for individuals who are interested in gaining a deeper understanding of their genetic makeup and using that information to improve their health and well-being.
    – The health reports provided by 23andMe are not meant to replace medical advice or diagnosis. It’s important to consult with a healthcare professional before making any significant changes based on your genetic results.
    – Privacy and data security are top priorities for 23andMe. Your genetic information is protected and will not be shared without your consent.

    Overall, the 23andMe+ Premium Membership Bundle offers a comprehensive and personalized approach to genetic testing. If you’re interested in learning more about your DNA and how it can impact your health and ancestry, this bundle is worth considering.
    #23andMe #Premium #Membership #Bundle #DNA #Kit #Personal #Genetic #Insights #Including #Health #Ancestry #Service #1Year #Access #Exclusive #Reports #Buy #Important #Test #Info,for 1 year plus

  • Largest Genetic Study of Bipolar Disorder Identifies 298 Regions of the Genome That Increase Risk for the Condition


    UNDER EMBARGO UNTIL
    January 22 at 11:00 AM EST
    Media Contact: Elizabeth Dowling
    Mount Sinai Press Office
    347-541-0212
    [email protected] 

    Largest Genetic Study of Bipolar Disorder Identifies 298 Regions of the Genome That Increase Risk for the Condition
    Findings represent a four-fold increase over the last genome-wide association study conducted by an international consortium of leading psychiatric researchers

    Newswise — In the largest genome-wide study of bipolar disorder to date, an international team of psychiatric genetics researchers has identified 298 regions of the genome containing DNA variations that increase risk for the disorder—a more than four-fold increase over the number previously identified, according to research published in Nature  [https://doi.org/10.1038/s41586-024-08468-9] on Wednesday, January 22. 

    The study—the first large multi-ancestry genomic analysis of the disorder to include data from people of European, East Asian, African American, and Latino ancestries—also identifies a new region associated with an increased risk for the disorder within the East Asian samples. Cross-referencing a range of methods, including fine-mapping and other variant-to-gene-mapping approaches, the team identified 36 genes suspected to be relevant to bipolar disorder. Bipolar disorder is an often lifelong mood disorder that impairs quality of life and functional ability, and is associated with suicidality. It affects an estimated 40-50 million people worldwide. Bipolar disorder is clinically heterogeneous, encompassing distinct subtypes 1 and 2. Bipolar disorder type 1 is characterized by episodes of both mania and depression, while bipolar disorder type 2 includes episodes of hypomania (a less severe form of mania) and depression. Despite the prevalence of bipolar disorder, it can take an average of eight years to get a proper diagnosis, and much remains unknown about the biology of the condition.

    To help elucidate bipolar disorder’s underlying biology, an international team of scientists from within the Psychiatric Genomics Consortium conducted a genome-wide association study, scanning the DNA of 2.9 million study participants from cohorts worldwide to identify genetic markers that were more common in those with the condition. This involved scanning more than 6.7 million common variations in the DNA sequences among the study participants, more than 158,000 of whom experience bipolar disorder.

    “It is well established that bipolar disorder has a substantial genetic basis, so identifying DNA variations that increase risk is of paramount importance to understanding the condition’s genetic architecture. In addition to identifying 298 regions of the genome that contain variations that increase risk for bipolar disorder, the 36 key genes we identified as being linked to the condition can now be followed up in a range of experiments to uncover the biological mechanisms through which each relates to the disorder,” says Niamh Mullins, PhD, Assistant Professor of Psychiatry, and Genetics and Genomic Sciences, at the Icahn School of Medicine at Mount Sinai and one of the senior authors of the paper. “The newly identified genes may also be used in experiments to explore new drug targets and drug development for bipolar disorder.”

    The study team also found differences in the genetic characteristics of bipolar disorder between clinical (patients recruited from hospital inpatient or outpatient units), community-based (participants in general population biobanks), and self-reporting (participants in online personal health surveys) participants. These genetic differences are likely to be driven by a higher prevalence of bipolar subtype 1 in the clinical samples versus a higher prevalence of bipolar subtype 2 in the self-reporting samples, which highlights the need for researchers to be mindful of the data-gathering strategies used within their studies of the condition.

    According to the research team, the genetic signal of bipolar disorder is related to specific brain cell types, including GABAergic interneurons and medium spiny neurons, in the prefrontal cortex and hippocampus. They also found that cells in the intestine and pancreas are involved, although more research is necessary to further understand this biology. 

    “Although this work does not immediately impact patient care, it opens the possibilities for long-term positive impact for patients and their families who are impacted by this widespread disorder,” said Ole Andreassen, MD, PhD, Professor of Psychiatry at the Institute of Clinical Medicine and Oslo University Hospital, and senior author of the paper. “Our research paves the way for the development of improved treatments, earlier interventions, and precision medicine approaches that will support clinicians in their decision-making to enable them to manage the condition in the most effective way for each patient.”

    The Psychiatric Genomics Consortium (PGC) is an international consortium of scientists dedicated to studying the genetic basis of psychiatric disorders and includes more than 1,700 researchers from over 65 countries.

    ”This research would not have been possible without the collaborative efforts of scientists worldwide that enabled the study of hundreds of thousands of DNA sequences,” said Kevin O’Connell, PhD, researcher at the University of Oslo and first author of the paper.

    About the Mount Sinai Health System
    Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 600 research and clinical labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time—discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.

    Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 9,000 primary and specialty care physicians and 11 free-standing joint-venture centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida. Hospitals within the System are consistently ranked by Newsweek’s® “The World’s Best Smart Hospitals, Best in State Hospitals, World Best Hospitals and Best Specialty Hospitals” and by U.S. News & World Report‘s® “Best Hospitals” and “Best Children’s Hospitals.” The Mount Sinai Hospital is on the U.S. News & World Report® “Best Hospitals” Honor Roll for 2024-2025.

    For more information, visit https://www.mountsinai.org or find Mount Sinai on Facebook, Twitter and YouTube.

    ###





    A groundbreaking study has revealed new insights into the genetic factors underlying bipolar disorder, a complex and often debilitating mental health condition. The largest genetic study of bipolar disorder to date has identified 298 regions of the genome that increase the risk for developing the disorder.

    Researchers from around the world analyzed genetic data from over 40,000 individuals with bipolar disorder and more than 60,000 controls without the condition. By comparing the genetic profiles of these two groups, the researchers were able to pinpoint specific regions of the genome that are associated with an increased risk for bipolar disorder.

    The study, published in the journal Nature Genetics, sheds light on the genetic architecture of bipolar disorder and provides valuable information that could help researchers better understand the underlying mechanisms of the condition. By identifying these genetic risk factors, researchers hope to develop more targeted and effective treatments for individuals with bipolar disorder.

    This groundbreaking study represents a major step forward in our understanding of the genetic basis of bipolar disorder. By identifying these 298 regions of the genome that increase the risk for the condition, researchers are paving the way for new discoveries and potential breakthroughs in the treatment of this complex disorder.

    Tags:

    1. Bipolar disorder genetic study
    2. Genetic risk factors for bipolar disorder
    3. Genome regions and bipolar disorder
    4. Bipolar disorder genetic research findings
    5. Bipolar disorder risk factors
    6. Genetic study on bipolar disorder
    7. Bipolar disorder genetic markers
    8. Bipolar disorder genome regions
    9. Bipolar disorder genetic predisposition
    10. Bipolar disorder genetic analysis

    #Largest #Genetic #Study #Bipolar #Disorder #Identifies #Regions #Genome #Increase #Risk #Condition

  • Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)


    Price: $8.98
    (as of Jan 22,2025 09:51:29 UTC – Details)




    ASIN ‏ : ‎ B002ACPAI8
    Publisher ‏ : ‎ Morgan Kaufmann; 1st edition (February 24, 1998)
    Publication date ‏ : ‎ February 24, 1998
    Language ‏ : ‎ English
    File size ‏ : ‎ 6379 KB
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 496 pages


    Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)

    Genetic programming is a powerful and innovative approach to solving complex problems in artificial intelligence. In this book, readers will find a comprehensive introduction to the principles and techniques of genetic programming, as well as practical guidance on how to apply this cutting-edge technology to real-world challenges.

    Written by leading experts in the field, this book covers the fundamentals of genetic programming, including the underlying principles of evolutionary algorithms and genetic programming, as well as advanced topics such as multi-objective optimization and symbolic regression. Readers will also learn how to design and implement genetic programming systems, and how to evaluate and compare different approaches.

    Whether you are a student, researcher, or practitioner in the field of artificial intelligence, this book will provide you with the knowledge and tools you need to harness the power of genetic programming. With its clear and accessible writing style, Genetic Programming: An Introduction is an essential resource for anyone interested in exploring the potential of this exciting technology.
    #Genetic #Programming #Introduction #Morgan #Kaufmann #Series #Artificial #Intelligence,machine learning: an applied mathematics introduction

  • Empowering Researchers with SNPweb: Harnessing the Power of Genetic Data

    Empowering Researchers with SNPweb: Harnessing the Power of Genetic Data


    Advances in technology have revolutionized the way researchers conduct their studies, particularly in the field of genetics. With the advent of high-throughput sequencing technologies, scientists now have access to vast amounts of genetic data that can provide valuable insights into various diseases, traits, and evolutionary processes. However, analyzing and interpreting this data can be a daunting task, requiring specialized tools and expertise.

    One such tool that has been developed to empower researchers in the analysis of genetic data is SNPweb. SNPweb is a web-based platform that allows researchers to easily access and analyze single nucleotide polymorphism (SNP) data. SNPs are the most common type of genetic variation in humans, and they can play a crucial role in determining an individual’s susceptibility to certain diseases or their response to certain medications.

    By harnessing the power of SNPweb, researchers can perform a wide range of analyses, including association studies, population genetics, and evolutionary analyses. The platform provides users with a user-friendly interface that allows them to upload their own data or access publicly available datasets. SNPweb then performs various analyses, such as calculating allele frequencies, testing for genetic associations, and visualizing genetic relationships between populations.

    One of the key advantages of SNPweb is its ability to handle large datasets with ease. This is particularly important in the era of big data, where researchers are often working with thousands or even millions of genetic markers. By utilizing SNPweb, researchers can quickly and efficiently analyze their data, allowing them to focus on interpreting their results and drawing meaningful conclusions.

    Another important feature of SNPweb is its ability to integrate with other bioinformatics tools and databases. This allows researchers to easily cross-reference their results with other datasets, increasing the robustness and reliability of their findings. Additionally, SNPweb is constantly updated with new features and improvements, ensuring that researchers have access to the latest tools and methodologies in genetic analysis.

    In conclusion, SNPweb is a powerful tool that empowers researchers to unlock the potential of genetic data. By providing a user-friendly interface, robust analysis capabilities, and integration with other bioinformatics tools, SNPweb enables researchers to conduct comprehensive genetic studies with ease. As we continue to unravel the complexities of the human genome, tools like SNPweb will play a crucial role in advancing our understanding of genetics and improving human health.


    #Empowering #Researchers #SNPweb #Harnessing #Power #Genetic #Data,snpweb

  • The Future of Genetic Research with SNPweb: Innovations and Advancements

    The Future of Genetic Research with SNPweb: Innovations and Advancements


    Genetic research has come a long way in recent years, with the development of technologies like SNPweb leading the charge in innovative advancements. SNPweb, a platform that allows researchers to analyze single nucleotide polymorphisms (SNPs) in genetic data, is revolutionizing the field of genetics by providing researchers with a powerful tool to better understand the complexities of the human genome.

    SNPs are variations in a single nucleotide base pair that occur at specific positions in the genome. These variations can have a significant impact on an individual’s susceptibility to diseases, response to medications, and overall health. By analyzing SNPs, researchers can gain valuable insights into the genetic factors that influence a wide range of traits and conditions.

    One of the key innovations of SNPweb is its ability to analyze large amounts of genetic data quickly and efficiently. This allows researchers to identify patterns and correlations that may not have been apparent using traditional methods. By harnessing the power of big data analytics, SNPweb is helping researchers uncover new genetic associations and potential therapeutic targets for a variety of diseases.

    Another major advancement of SNPweb is its user-friendly interface, which allows researchers to easily upload, analyze, and visualize their genetic data. This accessibility is crucial for promoting collaboration and sharing of data across research institutions, ultimately accelerating the pace of genetic research and discovery.

    Looking ahead, the future of genetic research with SNPweb is bright. As technology continues to evolve, we can expect even more powerful tools and capabilities to be developed, further expanding our understanding of the human genome. This will pave the way for personalized medicine, where treatments can be tailored to an individual’s unique genetic profile, leading to more effective and targeted therapies.

    In conclusion, SNPweb is a game-changer in the field of genetic research, offering researchers unprecedented insights into the complexities of the human genome. With its innovative features and advancements, SNPweb is helping to drive the future of genetic research towards a more personalized and effective approach to healthcare.


    #Future #Genetic #Research #SNPweb #Innovations #Advancements,snpweb

  • Navigating SNPweb: A User-Friendly Platform for Genetic Variation Analysis

    Navigating SNPweb: A User-Friendly Platform for Genetic Variation Analysis


    Navigating SNPweb: A User-Friendly Platform for Genetic Variation Analysis

    Genetic variation plays a crucial role in understanding the underlying mechanisms of various diseases and traits. With the advancement of technology, researchers now have access to large databases of genetic data that can help them uncover important insights into human genetics. One such platform that has gained popularity among researchers is SNPweb, a user-friendly tool for analyzing genetic variations.

    SNPweb is a web-based platform that allows researchers to easily navigate through vast amounts of single nucleotide polymorphism (SNP) data. SNPs are the most common type of genetic variation in the human genome, and studying them can provide valuable information about an individual’s genetic makeup and susceptibility to certain diseases.

    One of the key features of SNPweb is its user-friendly interface, which makes it easy for researchers to upload their own genetic data and analyze it in a matter of minutes. The platform also offers a wide range of tools and resources for exploring genetic variations, including interactive visualizations, statistical analysis, and data visualization.

    In addition to its user-friendly interface, SNPweb also provides access to a vast database of genetic data from various populations around the world. This allows researchers to compare their own data with existing datasets and gain a better understanding of genetic diversity and population genetics.

    Another important feature of SNPweb is its ability to generate detailed reports and summaries of genetic variations, making it easy for researchers to interpret their results and draw meaningful conclusions from their data. The platform also offers advanced analysis tools for identifying potential disease-causing variants and exploring the functional implications of genetic variations.

    Overall, SNPweb is a valuable tool for researchers interested in studying genetic variations and their impact on human health. Its user-friendly interface, vast database of genetic data, and advanced analysis tools make it a powerful platform for conducting genetic variation analysis. Whether you are a seasoned researcher or a novice in the field of genetics, SNPweb provides the tools and resources you need to navigate the complex world of genetic variation analysis.


    #Navigating #SNPweb #UserFriendly #Platform #Genetic #Variation #Analysis,snpweb

  • How SNPweb is Revolutionizing Genetic Research and Analysis

    How SNPweb is Revolutionizing Genetic Research and Analysis


    Genetic research and analysis have made significant strides in recent years, thanks in large part to advancements in technology and data analysis. One such tool that is revolutionizing the field is SNPweb, a powerful online platform that allows researchers to analyze genetic variations known as single nucleotide polymorphisms (SNPs) quickly and efficiently.

    SNPweb has become an indispensable tool for genetic researchers looking to study the genetic basis of diseases, traits, and populations. By providing access to a vast database of SNPs from various populations around the world, researchers can easily identify genetic variations that may be associated with certain traits or diseases. This can lead to groundbreaking discoveries in the field of genetics and personalized medicine.

    One of the key features of SNPweb is its user-friendly interface, which allows researchers to easily upload their genetic data and perform complex analyses with just a few clicks. The platform also provides detailed information on each SNP, including its location in the genome, allele frequencies, and potential functional effects. This level of detail allows researchers to make informed decisions about which SNPs to focus on in their studies.

    Another advantage of SNPweb is its ability to perform complex statistical analyses, such as genome-wide association studies (GWAS), which can identify genetic variants that are associated with a particular trait or disease. By leveraging the power of big data and advanced algorithms, researchers can uncover hidden genetic patterns that would be impossible to detect using traditional methods.

    In addition to its research applications, SNPweb is also being used in clinical settings to inform personalized medicine approaches. By analyzing a patient’s genetic data, healthcare providers can identify genetic variants that may influence their response to certain medications or their risk of developing certain diseases. This information can help tailor treatment plans to individual patients, leading to better outcomes and fewer adverse reactions.

    Overall, SNPweb is revolutionizing genetic research and analysis by providing researchers with a powerful and intuitive platform to study genetic variations in populations. Its ability to perform complex analyses and provide detailed information on SNPs is helping to unlock the secrets of the human genome and pave the way for personalized medicine approaches. As technology continues to advance, SNPweb will undoubtedly play a crucial role in shaping the future of genetic research and healthcare.


    #SNPweb #Revolutionizing #Genetic #Research #Analysis,snpweb

  • Ventura – Genetic Algorithms – New hardback or cased book – S9000z

    Ventura – Genetic Algorithms – New hardback or cased book – S9000z



    Ventura – Genetic Algorithms – New hardback or cased book – S9000z

    Price : 129.22

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    Ventura – Genetic Algorithms: A Revolutionary Approach to Problem Solving

    We are thrilled to announce the release of our new hardback book, “Ventura – Genetic Algorithms.” This groundbreaking book dives deep into the world of genetic algorithms, exploring how these innovative problem-solving techniques can be applied to a wide range of industries and challenges.

    Written by leading experts in the field, “Ventura – Genetic Algorithms” offers a comprehensive overview of the theory and practical applications of genetic algorithms. From optimizing complex systems to designing cutting-edge technologies, this book provides readers with the tools they need to harness the power of genetic algorithms for their own projects.

    Whether you’re a seasoned professional looking to expand your knowledge or a curious newcomer eager to learn more, “Ventura – Genetic Algorithms” is a must-read for anyone interested in the intersection of technology and problem solving.

    Available now in hardback or cased format, get your copy of “Ventura – Genetic Algorithms” today and start exploring the exciting world of genetic algorithms. Order your copy of this groundbreaking book for only S9000z.
    #Ventura #Genetic #Algorithms #hardback #cased #book #S9000z

  • Knabe – Computational Genetic Regulatory Networks  Evolvable Self-or – S9000z

    Knabe – Computational Genetic Regulatory Networks Evolvable Self-or – S9000z



    Knabe – Computational Genetic Regulatory Networks Evolvable Self-or – S9000z

    Price : 145.55

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    Knabe – Computational Genetic Regulatory Networks Evolvable Self-or – S9000z

    In the world of computational biology, the study of genetic regulatory networks (GRNs) is crucial for understanding how genes interact with each other to control various biological processes. Knabe, a cutting-edge software tool developed by researchers, is revolutionizing the way we analyze and model GRNs.

    One of the key features of Knabe is its ability to evolve and adapt to changing conditions. This means that the software can simulate the behavior of GRNs under different scenarios and predict how they will respond to genetic mutations or environmental changes. By using sophisticated algorithms, Knabe can uncover hidden patterns in the data and provide valuable insights into the underlying mechanisms of gene regulation.

    The “S9000z” version of Knabe takes this evolution a step further by introducing self-learning capabilities. This means that the software can continuously improve its predictions and recommendations based on feedback from users and real-world data. As a result, researchers can trust Knabe to provide accurate and up-to-date information about complex biological systems.

    Overall, Knabe – Computational Genetic Regulatory Networks Evolvable Self-or – S9000z represents a significant advancement in the field of computational biology. By harnessing the power of artificial intelligence and machine learning, this innovative tool is helping researchers unlock the secrets of genetic regulation and pave the way for groundbreaking discoveries in biotechnology and medicine.
    #Knabe #Computational #Genetic #Regulatory #Networks #Evolvable #Selfor #S9000z

  • Genetic and Evolutionary Computing: Proceedings of the Twelfth International Con

    Genetic and Evolutionary Computing: Proceedings of the Twelfth International Con



    Genetic and Evolutionary Computing: Proceedings of the Twelfth International Con

    Price : 189.94

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    ference on Genetic and Evolutionary Computing

    The Twelfth International Conference on Genetic and Evolutionary Computing (GEC) brought together researchers and practitioners from around the world to discuss the latest advances in the field of genetic and evolutionary computing. The conference featured a wide range of topics, including genetic algorithms, evolutionary programming, genetic programming, and other related areas.

    The proceedings of the conference have now been published, providing a comprehensive overview of the cutting-edge research presented at GEC. The papers cover a diverse range of topics, from theoretical advances in genetic and evolutionary computing to practical applications in areas such as optimization, machine learning, and artificial intelligence.

    One of the key themes of the conference was the increasing importance of genetic and evolutionary computing in tackling complex real-world problems. Researchers presented innovative approaches for solving optimization problems, designing intelligent systems, and developing novel algorithms inspired by natural evolution.

    Overall, the proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing provide a valuable resource for researchers and practitioners working in this exciting and rapidly evolving field. The papers offer new insights, practical solutions, and inspiration for future research directions in genetic and evolutionary computing.
    #Genetic #Evolutionary #Computing #Proceedings #Twelfth #International #Con, Data Center Database

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