| Description |
1 online resource (viii, 372 pages) : illustrations |
| Series |
Studies in computational intelligence, 1860-949X ; 92 |
|
Studies in computational intelligence ; 92. 1860-949X
|
| Contents |
Adaptation of a success story in GAs: estimation-of-distribution algorithms for tree-based optimization problems / P.A.N. Bosman and E.D. de Jong -- The automated design of artificial neural networks using evolutionary computation / J.-Y. Jung and J.A. Reggia -- A versatile surrogate-assisted memetic algorithm for optimization of computationally expensive functions and its engineering applications / Y. Tenne and S.W. Armfield -- Data mining and intelligent multi-agent technologies in medical informatics / F. Shadabi and D. Sharma -- Evolving trading rules / Adam Ghandar [and others] -- A hybrid genetic algorithm for the protein folding problem using the 2D-HP lattice model / Heitor S. Lopes and Marcos P. Scapin -- Optimal management of agricultural systems / D.G. Mayer [and others] -- Evolutionary electronics: automatic synthesis of analog circuits by GAs / Esteban Tlelo-Cuautle and Miguel A. Duarte-Villasenor -- Intuitive visualization and interactive analysis of pareto sets applied on production engineering systems / H. Miller [and others] -- Privacy protection with genetic algorithms / Agusti Solanas -- A revision of evolutionary computation techniques in telecommunications and an application for the network global planning problem / Pablo Cortes [and others] -- Survivable network design with an evolution strategy / Volker Nissen and Stefan Gold -- Evolutionary computations for design optimization and test automation in VLSI circuits / A.K. Palit [and others] -- Evolving cooperative agents in economy market using genetic algorithms / Raymond Chiong -- Optimizing multiplicative general parameter finite impulse response filters using evolutionary computation / Jarno Martikainen and Seppo J. Ovaska -- Applying genetic algorithms to optimize the cost of multiple sourcing supply chain systems : an industry case study / Kesheng Wang and Y. Wang |
| Summary |
Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting rapidly evolving field |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Print version record |
| Subject |
Evolutionary computation.
|
|
Ingénierie.
|
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Evolutionary computation
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| Form |
Electronic book
|
| Author |
Yang, Ang.
|
|
Shan, Yin.
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Bui, Lam Thu.
|
| ISBN |
9783540762867 |
|
3540762868 |
|
