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Real-World Applications of Genetic Algorithms

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Genetic Algorithms in Elixir

an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real;

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Optimization Techniques for Solving Complex Problems

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for;

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Genetic Algorithms

decades, is now being widely applied in real-world problems. Also, using hybrid systems approach enables applications to function more effectively;

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Genetic Algorithms in Java Basics

you'll have everything you need to start building your own. Genetic algorithms are frequently used to solve highly complex real world;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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Genetic and Evolutionary Methods

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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Hands-On Genetic Algorithms with Python

Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;

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Nature-Inspired Computation and Swarm Intelligence

providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory;

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Soft Computing for Problem Solving 2019

forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems;

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Soft Computing for Problem Solving 2019

forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems;

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Computational Intelligence Paradigms

neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications;

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Computational Intelligence Paradigms

neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications;

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Practical Genetic Algorithms

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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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Foundations of Genetic Algorithms 1991 (FOGA 1)

likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference;

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Proceedings of 6th International Conference on Harmony Search Soft Computing an

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International;

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Soft Computing for Problem Solving

real-world problems that are difficult to solve using traditional methods.;

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Genetic Algorithms in Applications

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Electromagnetic Optimization By Genetic Algorithms

Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic;

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Genetic Algorithms with Python

World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to;

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Parallel Problem Solving from Nature PPSN XVI

artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world;

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Parallel Problem Solving from Nature PPSN XVI

artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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