Evolutionary Computation

Wellington Pinheiro dos Santos

• Publisher: IntechOpen
• Year: 2009
• Print ISBN: 9789533070087
• eBook ISBN: 9789535159131
• Topic: Computer Science
• Subtopic: Systems Architecture
• Index: Computer Science

This book presents several recent advances on Evolutionary Computation, specially evolution-basedoptimization 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.

Table of contents

• Evolutionary Computation
• Preface
• Contents
• 1. Study of Genetic Algorithms Behavior for High Epitasis and High Dimensional Deceptive Functions
• 2. Interactive Genetic Algorithms with Individual’s Uncertain Fitness
• 3. A Genetic Algorithm for Optimizing Hierarchical Menus
• 4. Scheduling of Berthing Resources at a Marine Container Terminal via the use of Genetic Algorithms: Current and Future Research
• 5. Optimization of Oscillation Parameters in Continuous Casting Processof Steel Manufacturing: Genetic Algorithms versus Differential Evolution
• 6. Genetic Programming and Boosting Technique to Improve Time Series Forecasting
• 7. Enhancement of Capability in Probabilistic Risk Analysis by Genetic Algorithms
• 8. Evolutionary Computation in Coded Communications:An Implementation of Viterbi Algorithm
• 9. Some Modeling Issues for Protein Structure Prediction using Evolutionary Algorithms
• 10. Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems
• 11. Applications of the Differential Ant-Stigmergy Algorithm on Real-WorldContinuous Optimization Problems
• 12. From Evo to EvoDevo: Mapping and Adaptation in Artificial Development
• 13. Evolutionary Based Controller Design
• 14. Backbone Guided Local Search for the Weighted Maximum Satisfiability Problem
• 15. Hybrid Differential Evolution – Scatter Search Algorithm for Permutative Optimization
• 16. Optimization with the Nature-Inspired Intelligent Water Drops Algorithm
• 17. Optimization of Structures under LoadUncertainties Basedon Hybrid Genetic Algorithm
• 18. Optimum Design of Balanced SurfaceAcoustic Wave Filters usingEvolutionary Computation
• 19. Characteristics of Contract-BasedTask Allocation by a Large Numberof Self-Interested Agents
• 20. The Use of Evolutionary Algorithm in TrainingNeural Networks for Hematocrit Estimation
• 21. Applications of Neural-Based Agentsin Computer Game Design
• 22. Gravitational Singularities in Particle Swarms.Application to the Discovery of GeneExpression Patterns in DNA Microarrays.
• 23. Adaptive Formation of Pareto Frontin Evolutionary Multi-objective Optimization
• 24. An Empirical Studyof Graph Grammar Evolution
• 25. A Dialectical Method to Classify Alzheimer'sMagnetic Resonance Images
• 26. Simultaneous Topology, Shape and SizingOptimisation of Skeletal Structures UsingMultiobjective Evolutionary Algorithms
• 27. EC Application in Speech Processing- Voice Quality Conversion UsingInteractive Evolution of Prosodic Control
• 28. Multi-Ring Particle Swarm Optimization
• 29. Agent-Based Multi-Objective Evolutionary Algorithms withCultural and Immunological Mechanisms
• 30. Mobile Robot Navigation using Alpha Level Fuzzy Logic System:Experimental Investigations