Applications of Evolutionary Computing

Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC

Häftad, Engelska, 2005

Av Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero

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This book constitutes the refereed joint proceedings of six workshops on evolutionary computing, EvoWorkshops 2005, held in Lausanne, Switzerland in March/April 2005. The 56 revised full papers presented were carefully reviewed and selected from a total of 143 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computation in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.

Produktinformation

Utgivningsdatum2005-03-23
Mått155 x 235 x 36 mm
Vikt978 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor631
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540253969

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EvoBIO Contributions.- Evolutionary Biclustering of Microarray Data.- A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins.- Tabu Search Method for Determining Sequences of Amino Acids in Long Polypeptides.- Order Preserving Clustering over Multiple Time Course Experiments.- Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?.- A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction.- Neural Networks and Temporal Gene Expression Data.- Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data.- Genes Related with Alzheimer’s Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches.- Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins.- An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification.- Differential Evolution and Its Application to Metabolic Flux Analysis.- GEMPLS: A New QSAR Method Combining Generic Evolutionary Method and Partial Least Squares.- EvoCOMNET Contributions.- A Performance Evaluation Framework for Nature Inspired Routing Algorithms.- Empirical Models Based on Hybrid Intelligent Systems for Assessing the Reliability of Complex Networks.- A Study of an Iterated Local Search on the Reliable Communication Networks Design Problem.- Unsupervised Anomaly Detection Based n an Evolutionary Artificial Immune Network.- Evolutionary Algorithms for Location Area Management.- EvoHOT Contributions.- Evolutionary Design of Gate-Level Polymorphic Digital Circuits.- A Biological Development Model for the Design of Robust Multiplier.- Automatic Completion and Refinement ofVerification Sets for Microprocessor Cores.- A Genetic Algorithm for VLSI Floorplanning Using O-Tree Representation.- Evolving Reversible Circuits for the Even-Parity Problem.- Counter-Based Ant Colony Optimization as a Hardware-Oriented Meta-heuristic.- Use of an Evolutionary Tool for Antenna Array Synthesis.- EvoIASP Contributions.- A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis.- A New Evolutionary Algorithm for Image Segmentation.- An Interactive EA for Multifractal Bayesian Denoising.- Object Detection for Computer Vision Using a Robust Genetic Algorithm.- An Evolutionary Infection Algorithm for Dense Stereo Correspondence.- Automatic Image Enhancement Driven by Evolution Based on Ridgelet Frame in the Presence of Noise.- Practical Evaluation of Efficient Fitness Functions for Binary Images.- Selective SVMs Ensemble Driven by Immune Clonal Algorithm.- Sensory-Motor Coordination in Gaze Control.- Region Merging for Severe Oversegmented Images Using a Hierarchical Social Metaheuristic.- Automated Photogrammetric Network Design Using the Parisian Approach.- Design of Fast Multidimensional Filters Using Genetic Algorithms.- Genetic-Fuzzy Optimization Algorithm for Adaptive Learning of Human Vocalization in Robotics.- Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning.- A Multistage Approach to Cooperatively Coevolving Feature Construction and Object Detection.- An Implicit Context Representation for Evolving Image Processing Filters.- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition.- EvoMUSART Contributions.- Open Problems in Evolutionary Music and Art.- Genetic Paint: A Search for Salient Paintings.- Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art.- The Electric Sheep Screen-Saver: A Case Study in Aesthetic Evolution.- Swarm Tech-Tiles Tim.- Evolutionary Methods for Ant Colony Paintings.- Evolutionary Search for Musical Parallelism.- Developing Fitness Functions for Pleasant Music: Zipf’s Law and Interactive Evolution Systems.- Understanding Expressive Music Performance Using Genetic Algorithms.- Toward User-Directed Evolution of Sound Synthesis Parameters.- Playing in the Pheromone Playground: Experiences in Swarm Painting.- Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy.- Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons.- Growing Music: Musical Interpretations of L-Systems.- Exploring Rhythmic Automata.- Extra-Music(ologic)al Models for Algorithmic Composition.- EvoSTOC Contributions.- The Memory Indexing Evolutionary Algorithm for Dynamic Environments.- Dynamic Decentralized Packet Clustering in Networks.- MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design.- Unified Particle Swarm Optimization in Dynamic Environments.- Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments.- A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems.- Assortative Mating in Genetic Algorithms for Dynamic Problems.- A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs.