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Evolutionary Computation
Edited by Wellington Pinheiro dos Santos, ISBN 978-953-307-008-7, Hard cover, 572 pages, Publisher: InTech, Published: October 01, 2009 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.
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Book contents
- Chapter 1Study of Genetic Algorithms Behavior for High Epitasis and High Dimensional Deceptive Functions
- Chapter 2Interactive Genetic Algorithms with Individual’s Uncertain Fitness
- Chapter 3A Genetic Algorithm for Optimizing Hierarchical Menus
- Chapter 4Scheduling of Berthing Resources at a Marine Container Terminal via the use of Genetic Algorithms: Current and Future Research
- Chapter 5Optimization of Oscillation Parameters in Continuous Casting Process of Steel Manufacturing: Genetic Algorithms versus Differential Evolution
- Chapter 6Genetic Programming and Boosting Technique to Improve Time Series Forecasting
- Chapter 7Enhancement of Capability in Probabilistic Risk Analysis by Genetic Algorithms
- Chapter 8Evolutionary Computation in Coded Communications: an Implementation of Viterbi Algorithm
- Chapter 9Some Modeling Issues for Protein Structure Prediction Using Evolutionary Algorithms
- Chapter 10Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems
- Chapter 11Applications of the Differential Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems
- Chapter 12From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
- Chapter 13Evolutionary Based Controller Design
- Chapter 14Backbone Guided Local Search for the Weighted Maximum Satisfiability Problem
- Chapter 15Hybrid Differential Evolution – Scatter Search Algorithm for Permutative Optimization
- Chapter 16Optimization with the Nature-Inspired Intelligent Water Drops Algorithm
- Chapter 17Optimization of Structures under Load Uncertainties Based on Hybrid Genetic Algorithm
- Chapter 18Optimum Design of Balanced Surface Acoustic Wave Filters Using Evolutionary Computation
- Chapter 19Characteristics of Contract-Based Task Allocation by a Large Number of Self-Interested Agents
- Chapter 20The Use of Evolutionary Algorithm in Training Neural Networks for Hematocrit Estimation
- Chapter 21Applications of Neural-Based Agents in Computer Game Design
- Chapter 22Gravitational Singularities in Particle Swarms. Application to the Discovery of Gene Expression Patterns in DNA Microarrays.
- Chapter 23Adaptive Formation of Pareto Front in Evolutionary Multi-objective Optimization
- Chapter 24An Empirical Study of Graph Grammar Evolution
- Chapter 25A Dialectical Method to Classify Alzheimer\'s Magnetic Resonance Images
- Chapter 26Simultaneous Topology, Shape and Sizing Optimisation of Skeletal Structures Using Multiobjective Evolutionary Algorithms
- Chapter 27EC Application in Speech Processing - Voice Quality Conversion Using Interactive Evolution of Prosodic Control
- Chapter 28Multi-Ring Particle Swarm Optimization
- Chapter 29Agent-Based Multi-Objective Evolutionary Algorithms with Cultural and Immunological Mechanisms
- Chapter 30Mobile Robot Navigation Using Alpha Level Fuzzy Logic System: Experimental Investigations
