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Computer and Information Science » Artificial Intelligence
Bio-Inspired Computational Algorithms and Their Applications
Edited by Shangce Gao, ISBN 978-953-51-0214-4, Hard cover, 420 pages, Publisher: InTech, Chapters published March 07, 2012 under CC BY 3.0 license
DOI: 10.5772/2358
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. Bio-Inspired 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.
- Chapter 1
The Successive Zooming Genetic Algorithm and Its Applications - Chapter 2
The Network Operator Method for Search of the Most Suitable Mathematical Equation - Chapter 3
Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation - Chapter 4
The Roles of Crossover and Mutation in Real-Coded Genetic Algorithms - Chapter 5
A Splicing/Decomposable Binary Encoding and Its Novel Operators for Genetic and Evolutionary Algorithms - Chapter 6
Genetic Algorithms: An Overview with Applications in Evolvable Hardware - Chapter 7
Tune Up of a Genetic Algorithm to Group Documentary Collections - Chapter 8
Public Portfolio Selection Combining Genetic Algorithms and Mathematical Decision Analysis - Chapter 9
The Search for Parameters and Solutions: Applying Genetic Algorithms on Astronomy and Engineering - Chapter 10
Fusion of Visual and Thermal Images Using Genetic Algorithms - Chapter 11
Self Adaptive Genetic Algorithms for Automated Linear Modelling of Time Series - Chapter 12
Optimal Feature Generation with Genetic Algorithms and FLDR in a Restricted-Vocabulary Speech Recognition System - Chapter 13
Performance of Varying Genetic Algorithm Techniques in Online Auction - Chapter 14
Mining Frequent Itemsets over Recent Data Stream Based on Genetic Algorithm - Chapter 15
Optimal Design of Power System Controller Using Breeder Genetic Algorithm - Chapter 16
On the Application of Optimal PWM of Induction Motor in Synchronous Machines at High Power Ratings - Chapter 17
Artificial Immune Systems, Dynamic Fitness Landscapes, and the Change Detection Problem - Chapter 18
Modelling the Innate Immune System - Chapter 19
A Stochastically Perturbed Particle Swarm Optimization for Identical Parallel Machine Scheduling Problems - Chapter 20
Performance Study of Cultural Algorithms Based on Genetic Algorithm with Single and Multi Population for the MKP - Chapter 21
Using a Genetic Algorithm to Solve the Benders’ Master Problem for Capacitated Plant Location
