Cellular genetic algorithms

Enrique Alba and Bernabé Dorronsoro

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. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensio

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Year of publication:	2008
Authors:	Alba, Enrique ; Dorronsoro, Bernabé
Publisher:	New York, NY : Springer
Subject:	Evolutionärer Algorithmus \| Evolutionary algorithm \| Mobilkommunikation \| Mobile communications \| Theorie \| Theory \| Mobiltelefon \| Mobile phone \| Mathematische Optimierung \| Mathematical programming \| Genetischer Algorithmus
Description of contents:	Table of Contents [gbv.de] ; Description [zbmath.org]

Extent:	XIII, 245 S.
Series:	Operations research - computer science interfaces series ; 42
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references (p. [223]-242) CONTENTS; Part I Introduction; 1 Introduction to Cellular Genetic Algorithms; 2 The State of the Art in Cellular Evolutionary Algorithms; Part II Characterizing Cellular Genetic Algorithms; 3 On the Effects of Structuring the Population; 4 Some Theory: A Selection Pressure Study on cGAs; Part III Algorithmic Models and Extensions5 Algorithmic and Experimental Design; 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-objectiveOptimization10 Other Cellular Models; 11 Software for cGAs: The JCell Framework; Part IV Applications of cGAs; 12 Continuous Optimization; 13 Logistics: The Vehicle Routing Problem; 14 Telecommunications: Optimization of the BroadcastingProcess in MANETs; 15 Bioinformatics: The DNA Fragment Assembly Problem; Part V Appendix; A Definition of the Benchmark Problems; A.1 CombinatorialOptimizationProblems; A.2 ContinuousOptimizationProblems; A.3 Multi-objectiveOptimizationProblems; References; Index Electronic reproduction; Available via World Wide Web
ISBN:	978-0-387-77609-5 ; 978-0-387-77610-1
Other identifiers:	10.1007/978-0-387-77610-1 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014275031