Applications of Evolutionary Computation

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Release : 2019
Genre : Evolutionary computation
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Book Rating : 939/5 ( reviews)

Applications of Evolutionary Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Evolutionary Computation write by Paul Kaufmann (Computer scientist). This book was released on 2019. Applications of Evolutionary Computation available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics. --

Advances in Evolutionary Computing

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Release : 2012-12-06
Genre : Computers
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Book Rating : 652/5 ( reviews)

Advances in Evolutionary Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Evolutionary Computing write by Ashish Ghosh. This book was released on 2012-12-06. Advances in Evolutionary Computing available in PDF, EPUB and Kindle. This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

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Release : 2010-06-30
Genre : Education
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Book Rating : 100/5 ( reviews)

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques write by Chis, Monica. This book was released on 2010-06-30. Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques available in PDF, EPUB and Kindle. Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

New Frontier In Evolutionary Algorithms: Theory And Applications

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Release : 2011-08-26
Genre : Computers
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Book Rating : 557/5 ( reviews)

New Frontier In Evolutionary Algorithms: Theory And Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook New Frontier In Evolutionary Algorithms: Theory And Applications write by Hitoshi Iba. This book was released on 2011-08-26. New Frontier In Evolutionary Algorithms: Theory And Applications available in PDF, EPUB and Kindle. This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integration of several Artificial Life and Artificial Intelligence techniques, such as memetic concepts, swarm intelligence, and foraging strategies. The development of such tools contributes to better optimizing methodologies when addressing tasks from areas such as robotics, financial forecasting, and data mining in bioinformatics.The emphasis of this book is on applicability to the real world. Tasks from application areas - optimization of the trading rule in foreign exchange (FX) and stock prices, economic load dispatch in power system, exit/door placement for evacuation planning, and gene regulatory network inference in bioinformatics - are studied, and the resultant empirical investigations demonstrate how successful the proposed approaches are when solving real-world tasks of great importance.

Introduction to Evolutionary Computing

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Release : 2007-08-06
Genre : Computers
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Book Rating : 841/5 ( reviews)

Introduction to Evolutionary Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Evolutionary Computing write by A.E. Eiben. This book was released on 2007-08-06. Introduction to Evolutionary Computing available in PDF, EPUB and Kindle. The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.