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Applications of Evolutionary Computing : EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN Kinsale, Ireland, April 3-4, 2002. Proceedings / edited by Stefano Cagnoni, Jens Gottlieb, Emma Hart, Martin Middendorf, Günther R. Raidl.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Cagnoni, Stefano, 1961- editor.
Gottlieb, Jens, editor.
Hart, Emma, editor.
Middendorf, Martin, editor.
Raidl, Günther R., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2279.
Lecture Notes in Computer Science, 0302-9743 ; 2279
Language:
English
Subjects (All):
Computer programming.
Artificial intelligence.
Algorithms.
Computer science--Mathematics.
Computer science.
Optical data processing.
Pattern perception.
Programming Techniques.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Local Subjects:
Programming Techniques.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Physical Description:
1 online resource (XIV, 346 pages).
Edition:
First edition 2002.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.
Contents:
EvoCOP Talks
Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation
SavingsAnts for the Vehicle Routing Problem
Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods
Non-parametric Estimation of Properties of Combinatorial Landscapes
Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations
A Performance Comparison of Alternative Heuristics for the Flow Shop Scheduling Problem
Exploiting Fitness Distance Correlation of Set Covering Problems
A Population Based Approach for ACO
Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation
Application of Genetic Algorithms in Nanoscience: Cluster Geometry Optimization
A Memetic Algorithm for Vertex-Biconnectivity Augmentation
Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem
An Experimental Investigation of Iterated Local Search for Coloring Graphs
Solving Car Sequencing Problems by Local Optimization
Evolution Strategies, Network Random Keys, and the One-Max Tree Problem
Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema
Boosting ACO with a Preprocessing Step
A Memetic Algorithm Guided by Quicksortfor the Error-Correcting Graph Isomorphism Problem
EvoIASP Talks
Evolutionary Techniques for Minimizing Test Signals Application Time
Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming
Using EAs for Error Prediction in Near Infrared Spectroscopy
The Prediction of Journey Times on Motorways Using Genetic Programming
The Boru Data Crawler for Object Detection Tasks in Machine Vision
Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies
Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming
Image Filter Design with Evolvable Hardware
A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture
Efficiently Computable Fitness Functions for Binary Image Evolution
Evolutionary Based Autocalibration from the Fundamental Matrix
Medical Image Registration Using Parallel Genetic Algorithms
EvoSTIM/EvoPLAN Talks
Disruption Management for an Airline - Rescheduling of Aircraft
Ant Colony Optimization with the Relative Pheromone Evaluation Method
Improving Street Based Routing Using Building Block Mutations.
Other Format:
Printed edition:
ISBN:
978-3-540-46004-6
9783540460046
Access Restriction:
Restricted for use by site license.

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