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This book constitutes the refereed proceedings of the 6th International Conference, FUN 2012, held in June 2012 in Venice, Italy. The 34;
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-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.;
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algorithms including a fun zoomorphic creature example. Furthermore, Practical Agile AI with Pharo finishes with a data classification application;
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problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience;
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activities that are easy to follow and fun to try on your own or with friends. Guiding young coders through each title is Data Duck - a computer;
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A reference that makes learning to interpret rhythm strips easy and fun. It includes chapters that review cardiac anatomy and physiology;
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entertainment. Efficient algorithms not only enable your personal computer to execute the newest generation of games with features unimaginable only a;
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benchmarks to test competing methods. The data sets are both interesting in themselves and applicable to a wide variety of problem domains. With;
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Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions;
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From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an;
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more. In this book, author Thomas Mailund provides a library with all the algorithms and applicable source code that you can use;
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more. In this book, author Thomas Mailund provides a library with all the algorithms and applicable source code that you can use in your own;
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Study elementary and complex algorithms with clear examples and implementations in C. This book introduces data types (simple and;
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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;
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with input saturation. Specifically, it addresses and solves the anti-windup problem, presenting the objectives and terminology of the problem;
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and additionally includes various types of modifications to enable swarm intelligence algorithms to solve problems dealing with areas other;
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Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel;
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Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;
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in Kolkata, India, in February 2009. The 30 revised full papers presented together with 4 invited papers were carefully reviewed and selected from;
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applications of the algorithms to a variety of real-world problems. What You Will LearnProgram algorithms using the Lisp programming language Work with;
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with didactical Python implementations of the algorithms, which not only allow readers to consolidate their understanding, but also provide a;
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Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms;
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, Taiwan, in March 2017. The 35 full papers presented together with three invited talks were carefully reviewed and selected from 83;
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programming language Work with data structures, arrays, key-values, hash-tables, trees, graphs, and more Use dynamic programming Program using;
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language with example case studies and student exercises. Using Python code throughout, Xiao breaks the subject down into three fundamental;
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algorithms and scientific computing. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. It;
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, in July 2015. The 28 papers presented in this volume were carefully reviewed and selected from 65 submissions. They deal with graph algorithms;
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