Evolutionary Computation in Combinatorial Optimization

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Release : 2019-04-10
Genre : Computers
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Book Rating : 119/5 ( reviews)

Evolutionary Computation in Combinatorial Optimization - 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 in Combinatorial Optimization write by Arnaud Liefooghe. This book was released on 2019-04-10. Evolutionary Computation in Combinatorial Optimization available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* 2019 events EuroGP, EvoMUSART and EvoApplications. The 14 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics to their accurate design and application to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of metaheuristics core components, the clever design of their search principles, and their careful selection and configuration. Applications cover domains such as scheduling, routing, partitioning and general graph problems.

Evolutionary Computation in Combinatorial Optimization

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Release : 2023-03-30
Genre : Computers
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Book Rating : 351/5 ( reviews)

Evolutionary Computation in Combinatorial Optimization - 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 in Combinatorial Optimization write by Leslie Pérez Cáceres. This book was released on 2023-03-30. Evolutionary Computation in Combinatorial Optimization available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP. The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

Evolutionary Computation in Combinatorial Optimization

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Book Rating : 124/5 ( reviews)

Evolutionary Computation in Combinatorial Optimization - 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 in Combinatorial Optimization write by Thomas Stützle. This book was released on . Evolutionary Computation in Combinatorial Optimization available in PDF, EPUB and Kindle.

Evolutionary Computation in Combinatorial Optimization

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Release : 2004-03-26
Genre : Computers
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Book Rating : 678/5 ( reviews)

Evolutionary Computation in Combinatorial Optimization - 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 in Combinatorial Optimization write by Jens Gottlieb. This book was released on 2004-03-26. Evolutionary Computation in Combinatorial Optimization available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.

Bioinspired Computation in Combinatorial Optimization

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Release : 2010-11-04
Genre : Mathematics
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Book Rating : 443/5 ( reviews)

Bioinspired Computation in Combinatorial Optimization - 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 Bioinspired Computation in Combinatorial Optimization write by Frank Neumann. This book was released on 2010-11-04. Bioinspired Computation in Combinatorial Optimization available in PDF, EPUB and Kindle. Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.