Dos Santos W.P. (ed.) Evolutionary Computation

InTech, 2009, -582 p.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. Concerning evolutionbased optimization methods, this book presents diverse versions of genetic algorithms, genetic programming, and performance studies and analyses, as well as several particle swarm optimizers and hybrid approaches using neural networks and artificial immunological systems for multi-objective optimization. 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 he latest research work on this field. The contents of this book allow the reader to know more both theoretical and technical aspects and applications of evolutionary computation.Study of Genetic Algorithms Behavior for High Epitasis and High Dimensional Deceptive Functions
Interactive Genetic Algorithms with Individual’s Uncertain Fitness
A Genetic Algorithm for Optimizing Hierarchical Menus
Scheduling of Berthing Resources at a Marine Container Terminal via the use of Genetic Algorithms: Current and Future Research
Optimization of Oscillation Parameters in Continuous Casting Process of Steel Manufacturing: Genetic Algorithms versus Differential Evolution
Genetic Programming and Boosting Technique to Improve Time Series Forecasting
Enhancement of Capability in Probabilistic Risk Analysis by Genetic Algorithms
Evolutionary Computation in Coded Communications: An Implementation of Viterbi Algorithm
Some Modeling Issues for Protein Structure Prediction using Evolutionary Algorithms
Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems
Applications of the Differential Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems
From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
Evolutionary Based Controller Design
Backbone Guided Local Search for the Weighted Maximum Satisfiability Problem
Hybrid Differential Evolution – Scatter Search Algorithm for Permutative Optimization
Optimization with the Nature-Inspired Intelligent Water Drops Algorithm
Optimization of Structures under Load Uncertainties Based on Hybrid Genetic Algorithm
Optimum Design of Balanced Surface Acoustic Wave Filters using Evolutionary Computation
Characteristics of Contract-Based Task Allocation by a Large Number of Self-Interested Agents
The Use of Evolutionary Algorithm in Training Neural Networks for Hematocrit Estimation
Applications of Neural-Based Agents in Computer Game Design
Gravitational Singularities in Particle Swarms. Application to the Discovery of Gene Expression Patterns in DNA Microarrays.
Adaptive Formation of Pareto Front in Evolutionary Multi-objective Optimization
An Empirical Study of Graph Grammar Evolution
A Dialectical Method to Classify Alzheimer's Magnetic Resonance Images
Simultaneous Topology, Shape and Sizing Optimisation of Skeletal Structures Using Multiobjective Evolutionary Algorithms
EC Application in Speech Processing - Voice Quality Conversion Using Interactive Evolution of Prosodic Control
Multi-Ring Particle Swarm Optimization
Agent-Based Multi-Objective Evolutionary Algorithms with Cultural and Immunological Mechanisms
Mobile Robot Navigation using Alpha Level Fuzzy Logic System: Experimental Investigations