Overview

This book constitutes the refereed proceedings of the 7th International Conference on Parallel Problem Solving from Nature,PPSN 2002, held in Granada, Spain in September 2002. The 90 revised full papers presented were carefully reviewed and selected from 181 submissions. The papers are organized in topical sections on evolutionary algorithms theory, representation and codification, variation operators, evolutionary techniques and coevolution, multiobjective optimization, new techniques for evolutionary algorithms, hybrid algorithms, learning classifier systems, implementation of evolutionary algorithms, applications, and cellular automata and ant colony optimization.

Full Product Details

Author:   Juan J. Merelo ,  Panagiotis Adamidis ,  Hans-Georg Beyer
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2002 ed.
Volume:   2439
Dimensions:   Width: 15.50cm , Height: 4.80cm , Length: 23.50cm
Weight:   1.442kg
ISBN:  

9783540441397

ISBN 10:   3540441395
Pages:   954
Publication Date:   26 August 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Evolutionary Algorithms Theory.- Random Dynamics Optimum Tracking with Evolution Strategies.- On the Behavior of Evolutionary Global-Local Hybrids with Dynamic Fitness Functions.- Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction.- On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms.- Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem.- Fitness Landscapes Based on Sorting and Shortest Paths Problems.- Performance Measures for Dynamic Environments.- Representation/Codification Issues.- Direct Representation and Variation Operators for the Fixed Charge Transportation Problem.- On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search.- Binary Representations of Integers and the Performance of Selectorecombinative Genetic Algorithms.- Variation Operators: Analysis, New Techniques.- Parallel Varying Mutation in Deterministic and Self-adaptive GAs.- Self-organizing Maps for Pareto Optimization of Airfoils.- On Fitness Distributions and Expected Fitness Gain of Mutation Rates in Parallel Evolutionary Algorithms.- Opposites Attract: Complementary Phenotype Selection for Crossover in Genetic Programming.- Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms.- Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs.- Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment.- Crossover Operator Effect in Function Optimization with Constraints.- Reducing Random Fluctuations in Mutative Self-adaptation.- On Weight-Biased Mutation for Graph Problems.- Self-adaptive Operator Scheduling Using the Religion-Based EA.- Probabilistic Model-Building Genetic Algorithms in Permutation Representation Domain Using Edge Histogram.- From Syntactical to Semantical Mutation Operators for Structure Optimization.- Evolutionary Techniques: Coevolution.- Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm.- The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution.- Multiobjective Optimization.- Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem.- Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine.- Multi-objective Co-operative Co-evolutionary Genetic Algorithm.- Bayesian Optimization Algorithms for Multi-objective Optimization.- An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions.- Evolutionary Algorithms: New Techniques.- On Modelling Evolutionary Algorithm Implementations through Co-operating Populations.- Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations.- Advanced Population Diversity Measures in Genetic Programming.- Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm.- Metamodel-Assisted Evolution Strategies.- Limiting the Number of Fitness Cases in Genetic Programming Using Statistics.- Resource-Based Fitness Sharing.- Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach.- A New Asynchronous Parallel Evolutionary Algorithm for Function Optimization.- Fighting Bloat with Nonparametric Parsimony Pressure.- Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations.- Adaptive Reservoir Genetic Algorithm with On-Line Decision Making.- Genetic Algorithm Visualization Using Self-organizing Maps.- Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications.- Diversity-Guided Evolutionary Algorithms.- Hybrid Algorithms:Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets.- Evolutionary Optimization of Heterogeneous Problems.- Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming.- Learning and Evolution by Minimization of Mutual Information.- Evolved RBF Networks for Time-Series Forecasting and Function Approximation.- Hybrid Algorithms: Memetic, Other.- Evolutive Identification of Fuzzy Systems for Time-Series Prediction.- HyGLEAM-An Approach to Generally Applicable Hybridization of Evolutionary Algorithms.- Co-evolving Memetic Algorithms: Initial Investigations.- Learning Classifier Systems.- Consideration of Multiple Objectives in Neural Learning Classifier Systems.- On Using Constructivism in Neural Classifier Systems.- Initial Modifications to XCS for Use in Interactive Evolutionary Design.- First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics.- TCS Learning Classifier System Controller on a Real Robot.- Comparison of Different Techniques.- Comparing Synchronous and Asynchronous Cellular Genetic Algorithms.- Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search.- The LifeCycle Model: Combining Particle Swarm Optimisation, Genetic Algorithms and HillClimbers.- Metaheuristics for Group Shop Scheduling.- Experimental Investigation of Three Distributed Genetic Programming Models.- Model-Based Search for Combinatorial Optimization: A Comparative Study.- Evolutionary Algorithm Implementations.- A Framework for Distributed Evolutionary Algorithms.- Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP.- Applications.- Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games.- A Parallel Evolutionary Algorithm for Stochastic Natural Language Parsing.- Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming.- Inferring Phylogenetic Trees Using Evolutionary Algorithms.- Towards a More E.cient Evolutionary Induction of Bayesian Networks.- Robust Multiscale A.ne 2D-Image Registration through Evolutionary Strategies.- Synthesizing Graphical Models Employing Explaining Away.- Constructive Geometric Constraint Solving: A New Application of Genetic Algorithms.- Multimeme Algorithms for Protein Structure Prediction.- A Dynamic Traffic Model for Frequency Assignment.- A Parameter-Free Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth.- Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems.- Clustering Gene Expression Profiles with Memetic Algorithms.- Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics.- Evolutionary Graph Generation System and Its Application to Bit-Serial Arithmetic Circuit Synthesis.- Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation.- Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling.- Evolving the Topology of Hidden Markov Models Using Evolutionary Algorithms.- Solving a Real World Routing Problem Using Multiple Evolutionary Agents.- Other Bioinspired Algorithms: Cellular Automata,Ant Colony Optimization.- An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem.- When Model Bias Is Stronger than Selection Pressure.- Evolution of Asynchronous Cellular Automata.- Improved Ant-Based Clustering and Sorting in a Document Retrieval Interface.- An Adaptive Flocking Algorithm for Spatial Clustering.- Evolution of Asynchronous Cellular Automata for the Density Task.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions