bio-inspired computational algorithms and their application

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Bio-inspired computational algorithms are always hot research topics in .... Chapter 14 Mining Frequent Itemsets over Re
INT. J. BIOAUTOMATION, 2012, 16(1), 91-92

NEW BOOKS

SHANGCE GAO (EDITOR)

BIO-INSPIRED COMPUTATIONAL ALGORITHMS AND THEIR APPLICATION

InTech ISBN 13: 978-953-51-0214-4 Hard cover 420 pages March 2012

Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. BioInspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field. Open access book www.intechopen.com

Table of Contents Preface ................................................................................................................................................... ix Part 1 Recent Development of Genetic Algorithm ..............................................................................1 Chapter 1 The Successive Zooming Genetic Algorithm and Its Applications Young-Doo Kwon and Dae-Suep Lee.......................................................................................................3 Chapter 2 The Network Operator Method for Search of the Most Suitable Mathematical Equation Askhat Diveev and Elena Sofronova ......................................................................................................19 Chapter 3 Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation Esther Lugo-González, Emmanuel A. Merchán-Cruz, Luis H. Hernández-Gómez, Rodolfo Ponce-Reynoso, Christopher R. Torres-San Miguel and Javier Ramírez-Gordillo...............................43 Chapter 4 The Roles of Crossover and Mutation in Real-Coded Genetic Algorithms Yourim Yoon and Yong-Hyuk Kim .........................................................................................................65 Chapter 5 A Splicing/Decomposable Binary Encoding and Its Novel Operators for Genetic and Evolutionary Algorithms Yong Liang .............................................................................................................................................83

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INT. J. BIOAUTOMATION, 2012, 16(1), 91-92

NEW BOOKS

Chapter 6 Genetic Algorithms: An Overview with Applications in Evolvable Hardware Popa Rustem.........................................................................................................................................105 Part 2 New Applications of Genetic Algorithm ...............................................................................121 Chapter 7 Tune Up of a Genetic Algorithm to Group Documentary Collections José Luis Castillo Sequera ...................................................................................................................123 Chapter 8 Public Portfolio Selection Combining Genetic Algorithms and Mathematical Decision Analysis Eduardo Fernández-González, Inés Vega-López and Jorge Navarro-Castillo....................................139 Chapter 9 The Search for Parameters and Solutions: Applying Genetic Algorithms on Astronomy and Engineering Annibal Hetem Jr. ...............................................................................................................................161 Chapter 10 Fusion of Visual and Thermal Images Using Genetic Algorithms Sertan Erkanli, Jiang Li and Ender Oguslu .........................................................................................187 Chapter 11 Self Adaptive Genetic Algorithms for Automated Linear Modelling of Time Series Pedro Flores, Larysa Burtseva and Luis B. Morales ...........................................................................213 Chapter 12 Optimal Feature Generation with Genetic Algorithms and FLDR in a Restricted-Vocabulary Speech Recognition System Julio César Martínez-Romo, Francisco Javier Luna-Rosas, Miguel Mora-González, Carlos Alejandro de Luna-Ortega and Valentín López-Rivas .............................................................235 Chapter 13 Performance of Varying Genetic Algorithm Techniques in Online Auction Kim Soon Gan, Patricia Anthony, Jason Teo and Kim On Chin..........................................................263 Chapter 14 Mining Frequent Itemsets over Recent Data Stream Based on Genetic Algorithm Zhou Yong, Han Jun and Guo He ........................................................................................................291 Chapter 15 Optimal Design of Power System Controller Using Breeder Genetic Algorithm K. A. Folly and S. P. Sheetekela...........................................................................................................303 Chapter 16 On the Application of Optimal PWM of Induction Motor in Synchronous Machines at High Power Ratings Arash Sayyah and Alireza Rezazadeh ..................................................................................................317 Part 3 Artificial Immune Systems and Swarm Intelligence ...........................................................333 Chapter 17 Artificial Immune Systems, Dynamic Fitness Landscapes, and the Change Detection Problem Hendrik Richter ....................................................................................................................................335 Chapter 18 Modelling the Innate Immune System Pedro Rocha, Alexandre Pigozzo, Bárbara Quintela, Gilson Macedo, Rodrigo Santos and Marcelo Lobosco..................................................................................................................................351 Chapter 19 A Stochastically Perturbed Particle Swarm Optimization for Identical Parallel Machine Scheduling Problems......................................................................371 Mehmet Sevkli and Aise Zulal Sevkli Part 4 Hybrid Bio-Inspired Computational Algorithms ................................................................383 Chapter 20 Performance Study of Cultural Algorithms Based on Genetic Algorithm with Single and Multi Population for the MKP Deam James Azevedo da Silva, Otávio Noura Teixeira and Roberto Célio Limão de Oliveira ..........385 Chapter 21 Using a Genetic Algorithm to Solve the Benders’ Master Problem for Capacitated Plant Location Ming-Che Lai and Han-suk Sohn .........................................................................................................405

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