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The Resource Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro
Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro
Resource Information
The item Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Summary
- "Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications."--Jacket
- Language
- eng
- Extent
- xiii, 245 pages
- Contents
-
- pt. I. Introduction
- 1. Introduction to Cellular Genetic Algorithms
- 2. The State of the Art in Cellular Evolutionary Algorithms
- pt. II. Characterizing Cellular Genetic Algorithms
- 3. On the Effects of Structuring the Population
- 4. Some Theory: A Selection Pressure Study on cGAs
- pt. III. Algorithmic Models and Extensions
- 5. Algorithmic and Experimental Design
- 6. Design of Self-adaptive cGAs
- 7. Design of Cellular Memetic Algorithms
- 8. Design of Parallel Cellular Genetic Algorithms
- 9. Designing Cellular Genetic Algorithms for Multi-objective Optimization
- 10. Other Cellular Models
- 11. Software for cGAs: The JCell Framework
- pt. IV. Applications of cGAs
- 12. Continuous Optimization
- 13. Logistics: The Vehicle Routing Problem
- 14. Telecommunications: Optimization of the Broadcasting Process in MANETs
- 15. Bioinformatics: The DNA Fragment Assembly Problem
- pt. V. Appendix
- App. A. Definition of the Benchmark Problems
- Isbn
- 9780387776095
- Label
- Cellular genetic algorithms
- Title
- Cellular genetic algorithms
- Statement of responsibility
- Enrique Alba and Bernabé Dorronsoro
- Subject
-
- Combinatorial optimization
- Combinatorial optimization
- Combinatorial optimization
- Genetic algorithms
- Genetic algorithms
- Genetic algorithms
- Genetic algorithms
- Heuristic programming
- Heuristic programming
- Heuristic programming
- Heuristic programming
- Nonlinear programming
- Nonlinear programming
- Nonlinear programming
- Nonlinear programming
- Combinatorial optimization
- Language
- eng
- Summary
- "Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications."--Jacket
- Cataloging source
- YDXCP
- http://library.link/vocab/creatorName
- Alba, Enrique
- Illustrations
- illustrations
- Index
- index present
- LC call number
-
- QA402.5
- T57.8
- LC item number
-
- .A4175 2008
- .A43 2008
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Dorronsoro, Bernabé
- http://library.link/vocab/subjectName
-
- Genetic algorithms
- Combinatorial optimization
- Heuristic programming
- Nonlinear programming
- Combinatorial optimization
- Genetic algorithms
- Heuristic programming
- Nonlinear programming
- Label
- Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro
- Bibliography note
- Includes bibliographical references (p. [225]-242) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- pt. I. Introduction -- 1. Introduction to Cellular Genetic Algorithms -- 2. The State of the Art in Cellular Evolutionary Algorithms -- pt. II. Characterizing Cellular Genetic Algorithms -- 3. On the Effects of Structuring the Population -- 4. Some Theory: A Selection Pressure Study on cGAs -- pt. III. Algorithmic Models and Extensions -- 5. Algorithmic and Experimental Design -- 6. Design of Self-adaptive cGAs -- 7. Design of Cellular Memetic Algorithms -- 8. Design of Parallel Cellular Genetic Algorithms -- 9. Designing Cellular Genetic Algorithms for Multi-objective Optimization -- 10. Other Cellular Models -- 11. Software for cGAs: The JCell Framework -- pt. IV. Applications of cGAs -- 12. Continuous Optimization -- 13. Logistics: The Vehicle Routing Problem -- 14. Telecommunications: Optimization of the Broadcasting Process in MANETs -- 15. Bioinformatics: The DNA Fragment Assembly Problem -- pt. V. Appendix -- App. A. Definition of the Benchmark Problems
- Dimensions
- 24 cm.
- Extent
- xiii, 245 pages
- Isbn
- 9780387776095
- Isbn Type
- (acid-free paper)
- Lccn
- 2007942761
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
-
- (OCoLC)212327911
- (OCoLC)ocn212327911
- Label
- Cellular genetic algorithms, Enrique Alba and Bernabé Dorronsoro
- Bibliography note
- Includes bibliographical references (p. [225]-242) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- pt. I. Introduction -- 1. Introduction to Cellular Genetic Algorithms -- 2. The State of the Art in Cellular Evolutionary Algorithms -- pt. II. Characterizing Cellular Genetic Algorithms -- 3. On the Effects of Structuring the Population -- 4. Some Theory: A Selection Pressure Study on cGAs -- pt. III. Algorithmic Models and Extensions -- 5. Algorithmic and Experimental Design -- 6. Design of Self-adaptive cGAs -- 7. Design of Cellular Memetic Algorithms -- 8. Design of Parallel Cellular Genetic Algorithms -- 9. Designing Cellular Genetic Algorithms for Multi-objective Optimization -- 10. Other Cellular Models -- 11. Software for cGAs: The JCell Framework -- pt. IV. Applications of cGAs -- 12. Continuous Optimization -- 13. Logistics: The Vehicle Routing Problem -- 14. Telecommunications: Optimization of the Broadcasting Process in MANETs -- 15. Bioinformatics: The DNA Fragment Assembly Problem -- pt. V. Appendix -- App. A. Definition of the Benchmark Problems
- Dimensions
- 24 cm.
- Extent
- xiii, 245 pages
- Isbn
- 9780387776095
- Isbn Type
- (acid-free paper)
- Lccn
- 2007942761
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
-
- (OCoLC)212327911
- (OCoLC)ocn212327911
Subject
- Combinatorial optimization
- Combinatorial optimization
- Combinatorial optimization
- Genetic algorithms
- Genetic algorithms
- Genetic algorithms
- Genetic algorithms
- Heuristic programming
- Heuristic programming
- Heuristic programming
- Heuristic programming
- Nonlinear programming
- Nonlinear programming
- Nonlinear programming
- Nonlinear programming
- Combinatorial optimization
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