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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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Build, train, and deploy intelligent applications using Java libraries Key Features Leverage the power of Java libraries to build smart;
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most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;
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most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;
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analysis of algorithms. Key features include: * The only text of its kind with a chapter on genetic algorithms * Use of C++ and Java;
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About This Book * This book provides complete coverage of reactive and functional data structures * Based on the latest version of Java 9;
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There are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the;
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Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms.;
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Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;
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Assuming fundamental programming skills in Java, Introduction to Data Structures and Algorithms with Java begins by introducing the concept;
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Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic;
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Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;
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Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;
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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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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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Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path;
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For courses in Java Programming Layered, Back-to-Basics Approach to Java Programming This edition of Building Java Programs;
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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;
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Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;
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Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;
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The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial;
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This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and;
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Java is becoming an increasingly popular programming language, being used not only for web development, but also for larger industrial and;
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structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are;
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A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn;
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Vergelijkbare producten zoals Data Structures, Algorithms and Applications in Java
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