Description: Evolutionary Computation in Combinatorial Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). 19th European Conference, EvoCOP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24?26, 2019, Proceedings Author(s): Arnaud Liefooghe, Lu?s Paquete Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030167103, 978-3030167103 Synopsis 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.
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Book Title: Evolutionary Computation in Combinatorial Optimization
Item Height: 235 mm
Item Width: 155 mm
Series: Lecture Notes in Computer Science
Author: Luis Paquete, Arnaud Liefooghe
Publication Name: Evolutionary Computation in Combinatorial Optimization: 19th European Conference, EvoCOP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings
Format: Paperback
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Computer Science, Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 361 g
Number of Pages: 213 Pages
