Genetic algorithm in artificial intelligence research paper

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The ability to build a secure channel is one of the most challenging fields of research in modern communication. Since the secure channel has many applications, in particular for mobile phone, satellite and internet-based communications, there is a need for fast, effective and secure transmission protocols. Nowadays, information security has become an important aspect in every organization. The people have to be assured that the information is to be read by only the sender and the receiver. There comes the role of Cryptography, which ensures the secure transmissions of data.
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An Educational Genetic Algorithms Learning Tool

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Genetic algorithm - Wikipedia

In this article, we will introduce you to the topic of Genetic Algorithms and all the necessary details for you to digest this altogether new area of expertise. This will help you analyze the basics, the concepts and the terminology that is imbibed with the usage of Genetic Algorithms. This will also introduce you to the various crossover and mutational operators, survivor selection as well. The reader of the article is expected to acquire the minimum and sufficient knowledge with this reading.
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Genetic algorithm

You can add bibliographies and references to this collection! See also the bibliographies on Logic Programming and Neural Networks. Query: in any author title field ; Publication year : in: , since: , before: four digit years Options: Results as Citation Results in BibTeX , 10 results per page 40 results per page results per page results per page , sort by score year online papers only You may use Lucene syntax , available fields are: ti title , au author , yr publications year. Bibliography on computational linguistics, systemic and functional linguistics, artificial intelligence and general linguistics. Bibliography of the Proceedings of the Congress on Evolutionary Computation.
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In our study published in Nature , we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. Our system, AlphaFold — described in peer-reviewed papers now published in Nature and PROTEINS — is the culmination of several years of work, and builds on decades of prior research using large genomic datasets to predict protein structure. The 3D models of proteins that AlphaFold generates are far more accurate than any that have come before - marking significant progress on one of the core challenges in biology. Proteins are large, complex molecules essential to all of life.
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