Handbook of bioinspired algorithms and applications /

Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Olariu, Stephan, Zomaya, Albert Y.
Format:	eBook
Language:	English
Published:	Boca Raton, FL : Chapman and 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. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

chapter 1 Evolutionary Algorithms
chapter 2 An Overview of Neural Networks Models
chapter 3Ant ColonyOptimization
chapter 4 Swarm Intelligence
chapter 5 Parallel Genetic Programming: Methodology, History,and Application to Real-Life Problems
chapter 6 Parallel Cellular Algorithms and Programs
chapter 7 Decentralized Cellular Evolutionary Algorithms
chapter 8 Optimization via Gene Expression Algorithms
chapter 9 Dynamic Updating DNA Computing Algorithms
chapter 10 A Unified View on Metaheuristics and Their Hybridization
chapter 11 The Foundations of Autonomic Computing
chapter 12 Setting Parameter Values for Parallel Genetic Algorithms: Scheduling Tasks on a Cluster
chapter 13 Genetic Algorithms for Scheduling in Grid Computing Environments: A Case Study
chapter 14 Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms
chapter 15 Solving Optimization Problems in Wireless Networks Using Genetic Algorithms
chapter 16 Medical Imaging and Diagnosis Using Genetic Algorithms
chapter 17 Scheduling and Rescheduling with Use of Cellular Automata
chapter 18 Cellular Automata, PDEs, and Pattern Formation
chapter 19 Ant Colonies and the Mesh-Partitioning Problem
chapter 20 Simulating the Strategic Adaptation of Organizations Using OrgSwarm
chapter 21 BeeHive: New Ideas for Developing Routing Algorithms Inspired by Honey Bee Behavior
chapter 22 Swarming Agents for Decentralized Clustering in Spatial Data
chapter 23 Biological Inspired Based IntrusionDetection Modelsfor MobileTelecommunicationSystems
chapter 24 Synthesis of Multiple-Valued Circuits by Neural Networks
chapter 25 On the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons
chapter 26 Advanced Evolutionary Algorithms for Training Neural Networks
chapter 27 Bio-Inspired Data Mining
chapter 28 A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments
chapter 29 An Evolutionary Approach to Problems in Electrical Engineering Design
chapter 30 Solving the Partitioning Problem in Distributed Virtual Environment Systems Using Evolutive Algorithms / Pedro Morillo, Marcos Fernández, and Juan Manuel Orduña. 30-531
chapter 31 Population Learning Algorithm and Its Applications
chapter 32 Biology-Derived Algorithms in Engineering Optimization
chapter 33 Biomimetic Models for Wireless Sensor Networks / Kennie H. Jones, Kenneth N. Lodding, Stephan Olariu, Ashraf Wadaa, Larry Wilson, and Mohamed Eltoweissy. 33-601
chapter 34 A Cooperative Parallel Metaheuristic Applied to the Graph Coloring Problem
chapter 35 Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics
chapter 36 Parallel Hybrid Multiobjective Metaheuristics on P2P Systems.