Handbook of bioinspired algorithms and applications /

Computer and information scientists from the Americas, Europe, and Asia explore connections between biologically inspired techniques and the development of solutions to problems that arise in a variety of problem domains, particularly computationally intractable optimizations and decision-making app...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Olariu, Stephan (Editor), Zomaya, Albert Y. (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton : Chapman & Hall/CRC, 2006.
Series:	Chapman & Hall/CRC computer and information science series
Subjects:	Evolutionary programming (Computer science) > Handbooks, manuals, etc. Genetic algorithms > Handbooks, manuals, etc. Algorithms Computational Biology Programmation évolutive > Guides, manuels, etc. Algorithmes génétiques > Guides, manuels, etc. Algorithmes. Bio-informatique. algorithms. COMPUTERS > Programming > Open Source. COMPUTERS > Software Development & Engineering > Tools. COMPUTERS > Software Development & Engineering > General. Evolutionary programming (Computer science) Genetic algorithms Electronic books. Handbooks and manuals
Online Access:	Connect to the full text of this electronic book

Table of Contents:

MODELS AND PARADIGMS Evolutionary Algorithms; E. Alba and C. Cotta An Overview of Neural Networks Models; J. Taheri and A.Y. Zomaya Ant Colony Optimization; M. Guntsch and J. Branke Swarm Intelligence; M. Belal, J. Gaber, H. El-Sayed, and A. Almojel Parallel Genetic Programming: Methodology, History, and Application to Real-Life Problems; F. Fernández de Vega Parallel Cellular Algorithms and Programs; D. Talia Decentralized Cellular Evolutionary Algorithms; E. Alba, B. Dorronsoro, M. Giacobino, and M. Tomassini Optimization via Gene Expression Algorithms; F. Burkowski Dynamic Updating DNA Computing Algorithms; Z.F. Qiu and M. Lu A Unified View on Metaheuristics and Their Hybridization; J. Branke, M. Stein, and H. Schmeck The Foundations of Autonomic Computing; S. Hariri, B. Khargaria, M. Parashar, and Z. Li APPLICATION DOMAINS Setting Parameter Values for Parallel Genetic Algorithms: Scheduling Tasks on a Cluster; M. Moore Genetic Algorithms for Scheduling in Grid Computing Environments: A Case Study; K. Crnomarkovic and A.Y. Zomaya Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms; A. Mukhopadhyay, U. Biswas, M.K. Naskar, U. Maulik, and S. Bandyopadhyay, Solving Optimization Problems in Wireless Networks Using Genetic Algorithms; S.K. Das, N. Banerjee, and A. Roy Medical Imaging and Diagnosis Using Genetic Algorithms; U. Maulik, S. Bandyopadhyay, S.K. Das Scheduling and Rescheduling with Use of Cellular Automata; F. Seredynski, A. Swiecicka, and A.Y. Zomaya Cellular Automata, PDEs, and Pattern Formation; X-S. Yang, Y. Young Ant Colonies and the Mesh-Partitioning Problem; B. Robic, P. Korošec, and J. Šilc Simulating the Strategic Adaptation of Organizations Using OrgSwarm; A. Brabazon, A. Silva, E. Costa, T. Ferra de Sousa, and M. O'Neill BeeHive: New Ideas for Developing Routing Algorithms Inspired by Honey Bee Behavior; H.F. Wedde and M. Farooq Swarming Agents for Decentralized Clustering in Spatial Data; G. Folino, A. Forestiero, and G. Spezzano Biological Inspired Based Intrusion Detection Models for Mobile Telecommunication Systems; A. Boukerche, K.R.L. Jucá, J.B.M. Sobral, and M.S.M.A. Notare Synthesis of Multiple-Valued Circuits by Neural Networks; A. Ngom and I. Stojmenovic On the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons; A. Ngom, I. Stojmenovic, and J. Žunic Advanced Evolutionary Algorithms for Training Neural Networks; E. Alba, J.F. Chicano, F. Luna, G. Luque, and A.J. Nebro Bio-Inspired Data Mining; T. Sousa, A. Silva, A. Neves, and E. Costa A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments; L. Jourdan, M. Khabzaoui, C. Dhaenens, and E-G. Talbi An Evolutionary Approach to Problems in Electrical Engineering Design; G. Papa, J. Šilc, and B. Koroušic-Seljak Solving the Partitioning Problem in Distributed Virtual Environment Systems Using Evolutive Algorithms; P. Morillo, M. Fernandez, and J.M. Orduña Population Learning Algorithm and Its Applications; P. Jedrzejowicz Biology-Derived Algorithms in Engineering Optimization; X-S. Yang Biomimetic Models for Wireless Sensor Networks; K.H. Jones, K.N. Lodding, S. Olariu, A. Wadaa, L. Wilson, and M. Eltoweissy A Cooperative Parallel Metaheuristic Applied to the Graph Coloring Problem; B. Weinberg and E-G. Talbi Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics; N. melba, E-G. Talbi, and S. Cahon Parallel Hybrid Multiobjective Metaheuristics on P2P Systems; N. Melab, E-G. Talbi, M. Mezmaz, and B. Wei INDEX.