Evolutionary Computation in Combinatorial Optimization - Info and Reading Options
4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings
By Jens Gottlieb and Günther R. Raidl
"Evolutionary Computation in Combinatorial Optimization" was published by Springer London, Limited in 2004 - Berlin Heidelberg, it has 240 pages and the language of the book is English.
“Evolutionary Computation in Combinatorial Optimization” Metadata:
- Title: ➤ Evolutionary Computation in Combinatorial Optimization
- Authors: Jens GottliebGünther R. Raidl
- Language: English
- Number of Pages: 240
- Publisher: Springer London, Limited
- Publish Date: 2004
- Publish Location: Berlin Heidelberg
“Evolutionary Computation in Combinatorial Optimization” Subjects and Themes:
- Subjects: ➤ Evolutionary programming (Computer science) - Evolutionary computation - Genetic algorithms - Congresses - Data processing - Combinatorial optimization - Computer science - Computer software - Electronic data processing - Computational complexity - Combinatorial analysis
Edition Specifications:
- Pagination: x, 241
Edition Identifiers:
- The Open Library ID: OL35750285M - OL18780320W
- ISBN-13: 9783540246527 - 9783540213673
- All ISBNs: 9783540246527 - 9783540213673
AI-generated Review of “Evolutionary Computation in Combinatorial Optimization”:
"Evolutionary Computation in Combinatorial Optimization" Description:
Open Data:
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
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