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Real-World Applications of Genetic Algorithms

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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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Real-World Algorithms

no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world;

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Programming Algorithms in Lisp

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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Bio-inspired Algorithms for Engineering

their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to;

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Programming Algorithms in Lisp

real-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases;

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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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Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the;

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Adaptive Machine Learning Algorithms with Python

Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges;

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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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40 Algorithms Every Programmer Should Know

select and use an algorithm to solve real-world problems but also to understand how it works. You'll start with an introduction to algorithms;

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Genetic Algorithms in Elixir

algorithms with real-world applications. Open your eyes to a unique and powerful field - without having to learn a new language or framework;

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Applied Evolutionary Algorithms for Engineers using Python

that are pivotal to the successful application of evolutionary algorithms to real-world problems. The theoretical descriptions are illustrated;

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MultiObjective Optimization using Evolutionary Algorithms

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;

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Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world About This Book * Understand which;

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Introduction to Computing and Algorithms

applying the concepts to the real world, students will understand the power of computers as problem solving tools and learn to think like;

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Algorithm Design PNIE

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range;

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Mathematical Optimization Terminology

, illustrative examples, real-world applications and main references on the topic. This book helps readers gain a more practical understanding;

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Network Tomography

and algorithms of network tomography covers the most prominent results demonstrated on real-world data, including identifiability conditions;

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Real-Time Computer Vision

is needed for automated systems to keep pace with real-world activities and thus control or respond appropriately to them. This is the first book;

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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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Shadow Algorithms Data Miner

shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start;

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Shadow Algorithms Data Miner

shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start;

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Algorithms ESA 2015

. The papers present real-world applications, engineering, and experimental analysis of algorithms.;

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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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