Handbook of Bioinspired Algorithms and Applications

by Olariu; Stephan

• ISBN13: 9781584884750
• ISBN10: 1584884754
• Edition: 1st
• Format: Hardcover
• Copyright: 2005-09-29
• Publisher: Chapman & Hall/

Summary

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains.A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique.Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.

Table of Contents

SECTION I Models and Paradigms
Evolutionary Algorithms	3	(18)
Enrique Alba
Carlos Cotta
An Overview of Neural Networks Models	21	(20)
Javid Taheri
Albert Y. Zomaya
Ant Colony Optimization	41	(14)
Michael Guntsch
Jurgen Branke
Swarm Intelligence	55	(10)
Mohamed Belal
Jafaar Gaber
Hoda El-Sayed
Abdullah Almojel
Parallel Genetic Programming: Methodology, History, and Application to Real-Life Problems	65	(20)
Francisco Fernandez de Vega
Parallel Cellular Algorithms and Programs	85	(18)
Domenico Talia
Decentralized Cellular Evolutionary Algorithms	103	(18)
Enrique Alba
Bernabe Dorronsoro
Mario Giacobini
Marco Tomassini
Optimization via Gene Expression Algorithms	121	(14)
Forbes Burkowski
Dynamic Updating DNA Computing Algorithms	135	(12)
Zhiquan Frank Qiu
Mi Lu
A Unified View on Metaheuristics and Their Hybridization	147	(10)
Jurgen Branke
Michael Stein
Hartmut Schmeck
The Foundations of Autonomic Computing	157	(22)
Salim Hariri
Bithika Khargaria
Manish Parashar
Zhen Li
SECTION II Application Domains
Setting Parameter Values for Parallel Genetic Algorithms: Scheduling Tasks on a Cluster	179	(14)
Michelle Moore
Genetic Algorithms for Scheduling in Grid Computing Environments: A Case Study	193	(16)
Kris Crnomarkovic
Albert Y. Zomaya
Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms	209	(10)
Anirban Mukhopadhyay
Utpal Biswas
Mrinal Kanti Naskar
Ujjwal Maulik
Sanghamitra Bandyopadhyay
Solving Optimization Problems in Wireless Networks Using Genetic Algorithms	219	(16)
Sajal K. Das
Nilanjan Banerjee
Abhishek Roy
Medical Imaging and Diagnosis Using Genetic Algorithms	235	(18)
Ujjwal Maulik
Sanghamitra Bandyopadhyay
Sajal K. Das
Scheduling and Rescheduling with Use of Cellular Automata	253	(20)
Franciszek Seredynski
Anna Swiecicka
Albert Y. Zomaya
Cellular Automata, PDEs, and Pattern Formation	273	(12)
Xin-She Yang
Y. Young
Ant Colonies and the Mesh-Partitioning Problem	285	(20)
Borut Robic
Peter Korosec
Jurij Silc
Simulating the Strategic Adaptation of Organizations Using OrgSwarm	305	(16)
Anthony Brabazon
Arlindo Silva
Ernesto Costa
Tiago Ferra de Sousa
Michael O'Neill
BeeHive: New Ideas for Developing Routing Algorithms Inspired by Honey Bee Behavior	321	(20)
Horst F. Wedde
Muddassar Farooq
Swarming Agents for Decentralized Clustering in Spatial Data	341	(18)
Gianluigi Folino
Agostino Forestiero
Giandomenico Spezzano
Biological Inspired Based Intrusion Detection Models for Mobile Telecommunication Systems	359	(14)
Azzedine Boukerche
Kathia Regina Lemos Juca
Joao Bosco Mangueira Sobral
Mirela Sechi Moretti Annoni Notare
Synthesis of Multiple-Valued Circuits by Neural Networks	373	(54)
Alioune Ngom
Ivan Stojmenovic
On the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons	427	(26)
Alioune Ngom
Ivan Stojmenovic
Jovisa Zunic
Advanced Evolutionary Algorithms for Training Neural Networks	453	(16)
Enrique Alba
J. Francisco Chicano
Francisco Luna
Gabriel Luque
Antonio J. Nebro
Bio-Inspired Data Mining	469	(22)
Tiago Sousa
Arlindo Silva
Ana Neves
Ernesto Costa
A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments	491	(18)
L. Jourdan
M. Khabzaoui
C. Dhaenens
El-Ghazali Talbi
An Evolutionary Approach to Problems in Electrical Engineering Design	509	(22)
Gregor Papa
Jurij Silc
Barbara Korousic-Seljak
Solving the Partitioning Problem in Distributed Virtual Environment Systems Using Evolutive Algorithms	531	(24)
Pedro Morillo
Marcos Fernandez
Juan Manuel Orduna
Population Learning Algorithm and Its Applications	555	(34)
Piotr Jedrzejowicz
Biology-Derived Algorithms in Engineering Optimization	589	(12)
Xin-She Yang
Biomimetic Models for Wireless Sensor Networks	601	(24)
Kennie H. Jones
Kenneth N. Lodding
Stephan Olariu
Ashraf Wadaa
Larry Wilson
Mohamed Eltoweissy
A Cooperative Parallel Metaheuristic Applied to the Graph Coloring Problem	625	(14)
Benjamin Weinberg
El-Ghazali Talbi
Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics	639	(10)
N. Melab
El-Ghazali Talbi
S. Cahon
Parallel Hybrid Multiobjective Metaheuristics on P2P Systems	649	(16)
N. Melab
El-Ghazali Talbi
M. Mezmaz
B. Wei
Index	665