Overview

The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.

Full Product Details

Author:   Xin Yao ,  Edmund Burke ,  Jose A. Lozano ,  Jim Smith
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2004 ed.
Volume:   3242
Weight:   1.340kg
ISBN:  

9783540230922

ISBN 10:   3540230920
Pages:   1188
Publication Date:   13 September 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Theory.- On the Quality Gain of (1,?)-ES Under Fitness Noise.- Fitness Distributions and GA Hardness.- Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization.- The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes.- Evolutionary Algorithms with On-the-Fly Population Size Adjustment.- Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT.- Bridging the Gap Between Theory and Practice.- A Reduced Markov Model of GAs Without the Exact Transition Matrix.- Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem.- On the Importance of Information Speed in Structured Populations.- Estimating the Number of Solutions for SAT Problems.- Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes.- Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover.- An Analysis of the Effectiveness of Multi-parent Crossover.- On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA.- Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation.- A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover.- Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms.- New Algorithms.- LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation.- Learning Probabilistic Tree Grammars for Genetic Programming.- Sequential Sampling in Noisy Environments.- Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model.- Spread of Vector Borne Diseases in a Population with Spatial Structure.- Hierarchical Genetic Algorithms.- Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs.- Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures.- Control of Bloat in Genetic Programming by Means of the Island Model.- Saving Resources with Plagues in Genetic Algorithms.- Evaluating the CMA Evolution Strategy on Multimodal Test Functions.- Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA.- An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem.- A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian Cells.- Empirical Investigations on Parallelized Linkage Identification.- The EAX Algorithm Considering Diversity Loss.- Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph Generation.- A Mixed Bayesian Optimization Algorithm with Variance Adaptation.- A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme.- Distribution Tree-Building Real-Valued Evolutionary Algorithm.- Optimization via Parameter Mapping with Genetic Programming.- Multi-cellular Development: Is There Scalability and Robustness to Gain?.- Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models.- Robust Parallel Genetic Algorithms with Re-initialisation.- Improving Evolutionary Algorithms with Multi-representation Island Models.- A Powerful New Encoding for Tree-Based Combinatorial Optimisation Problems.- Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm.- Applications.- Metaheuristics for the Vehicle Routing Problem with Stochastic Demands.- AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks.- A Scatter Search Algorithm for the 3D Image Registration Problem.- A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search.- Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune Systems.- A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem.- Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAs.- Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming.- Searching Transcriptional Modules Using Evolutionary Algorithms.- Evolution of Voronoi-Based Fuzzy Controllers.- Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines.- Evolving Genetic Regulatory Networks for Hardware Fault Tolerance.- Evolving Dynamics in an Artificial Regulatory Network Model.- The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling.- An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies.- Conference Paper Assignment Using a Combined Greedy/Evolutionary Algorithm.- A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures.- The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching.- Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms.- An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin Packing.- An Improved Evaluation Function for the Bandwidth Minimization Problem.- Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model.- Evolution of Small-World Networks of Automata for Computation.- Recognizing Speed Limit Sign Numbers by Evolvable Hardware.- Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation.- Optimising the Performance of a Formula One Car Using a Genetic Algorithm.- Multi-objective Optimisation.- An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction.- Finding Knees in Multi-objective Optimization.- Multi-objective Parallel Tabu Search.- SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2.- An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints.- Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels.- Multi-objective Optimisation by Co-operative Co-evolution.- Sequential Process Optimisation Using Genetic Algorithms.- On Test Functions for Evolutionary Multi-objective Optimization.- Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm.- Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms.- Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption.- Indicator-Based Selection in Multiobjective Search.- Co-evolution.- Intransitivity in Coevolution.- Group Transport of an Object to a Target That Only Some Group Members May Sense.- Hawks, Doves and Lifetime Reproductive Success.- Evolutionary Multi-agent Systems.- Credit Assignment Among Neurons in Co-evolving Populations.- A Visual Demonstration of Convergence Properties of Cooperative Coevolution.- Cooperative Coevolution of Image Feature Construction and Object Detection.- Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms.- A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics.- Robotics and Multi-agent Systems.- Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics.- A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control.- An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy.- Translating the Dances of Honeybees into Resource Location.- Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot.- Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies.- A Neuroevolutionary Approach to Emergent Task Decomposition.- Evolving the Feeling of Time Through Sensory-Motor Coordination: A Robot Based Model.- Learning Classifier Systems and Data Mining.- An Artificial Immune System for Fuzzy-Rule Induction in Data Mining.- Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy.- A Simple Payoff-Based Learning Classifier System.- Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System.- Knowledge Extraction and Problem Structure Identification in XCS.- Forecasting Time Series by Means of Evolutionary Algorithms.- Detecting and Pruning Introns for Faster Decision Tree Evolution.- Evolutionary Multiobjective Clustering.- Web Page Classification with an Ant Colony Algorithm.- Oneiric Processing Utilising the Anticipatory Classifier System.- Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees.- Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems.- Ensemble Learning with Evolutionary Computation: Application to Feature Ranking.- Fast Unsupervised Clustering with Artificial Ants.- A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm.- Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector.- AgentP Model: Learning Classifier System with Associative Perception.

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