Recent developments in biologically inspired computing / [edited by] Leandro Nunes De Castro, Fernando J. Von Zuben.
"Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intell...
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Other Authors: | , |
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Format: | Ebook |
Language: | English |
Published: |
Hershey, PA :
Idea Group Pub.,
[2005]
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Subjects: | |
Online Access: | IGI Global e-Book Collection |
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245 | 0 | 0 | |a Recent developments in biologically inspired computing / |c [edited by] Leandro Nunes De Castro, Fernando J. Von Zuben. |
264 | 1 | |a Hershey, PA : |b Idea Group Pub., |c [2005] | |
264 | 4 | |c ©2005 | |
300 | |a 1 online resource (xiii, 439 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | 0 | |g Section 1. |t Introduction: -- |g 1. |t From Biologically Inspired Computing to Natural Computing / |r Leandro Nunes de Castro, Fernando J. Von Zuben -- |g Section 2. |t Evolutionary Algorithms: -- |g 2. |t Evolutionary Turing Machines: The Quest for Busy Beavers / |r Penousal Machado, Francisco B. Pereira, Jorge Tavares, Ernesto Costa, Amílcar Cardoso -- |g 3. |t Generalized External Optimization: A New Meta-Heuristic Inspired by a Model of Natural Evolution / |r Fabiano Luis de Sousa, Fernando Manuel Ramos, Roberto Luiz Galski, Issamu Muraoka -- |g 4. |t Genetic Programming Using a Turing-Complete Representation: Recurrent Network Consisting of Trees / |r Taro Yabuki, Hitoshi Iba -- |g 5. |t Gene Expression Programming and the Evolution of Computer Programs / |r Cândida Ferreira -- |g 6. |t The Clonal Selection Principle for In Silico and In Vitro Computing / |r Vincenzo Cutello, Giuseppe Nicosia -- |g Section 3. |t Swarm Intelligence: -- |g 7. |t Integrating Evolutionary Computation Components in Ant Colony Optimization / |r Sergio Alonso, Oscar Cordon, Iñaki Fernández de Viana, Francisco Herrera -- |g 8. |t Ant Colony Algorithms for Steiner Trees: An Application to Routing in Sensor Networks / |r Gurdip Singh, Sanjoy Das, Shekhar V. Gosavi, Sandeep Pujar -- |g 9. |t The Influence of Pheromone and Adaptive Vision in the Standard Ant Clustering Algorithm / |r Vahid Sherafat, Leandro Nunes de Castro, Eduardo Raul Hruschka -- |g 10. |t Particle Swarms: Optimization Based on Sociocognition / |r James Kennedy -- |g Section 4. |t Artificial Life and Artificial Creatures: -- |g 11. |t Synthetic Approach to Semiotic Artificial Creatures / |r Angelo Loula, Ricardo Gudwin, Sidarta Ribeiro, Ivan de Araujo, João Queiroz -- |g 12. |t Perspectives for Strong Artificial Life / |r Jean-Philippe Rennard -- |g Section 5. |t Information Processing and Cognitive Systems: -- |g 13. |t Controlling Robots with Fractal Gene Regulatory Networks / |r Peter J. Bentley -- |g 14. |t Once More Unto the Breach: Towards Artificial Homeostasis / |r Mark Neal, Jon Timmis -- |g 15. |t Biologically Inspired Collective Robotics / |r C. Ronald Kube, Chris A.C. Parker, Tao Wang, Hong Zhang -- |g 16. |t Continuous Attractor Neural Networks / |r Thomas P. Trappenberg. |
520 | |a "Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented."--Publisher's website. | ||
530 | |a Also issued online. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | |a Based on print version record. | ||
588 | |a Machine converted from AACR2 source record. | ||
650 | 0 | |a Algorithms. |9 313642 | |
650 | 0 | |a Artificial intelligence |x Biological applications |9 331405 | |
650 | 0 | |a Biological models |9 332122 | |
650 | 0 | |a Biology |x Mathematical models. |9 314571 | |
650 | 0 | |a Computational biology. |9 348030 | |
650 | 0 | |a Computational intelligence |9 328230 | |
650 | 0 | |a Natural computation |9 340515 | |
700 | 1 | |a De Castro, Leandro Nunes, |d 1974- |9 248509 | |
700 | 1 | |a Von Zuben, Fernando J. |9 248510 | |
776 | 1 | |i Print version: |t Recent developments in biologically inspired computing |d Hershey, PA : Idea Group Pub., [2005] |w 2004003744 |w (OCoLC)54502140 |z 9781591403128 |z 9781591403135 | |
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