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Applications of Evolutionary Computing

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Cover of 'Applications of Evolutionary Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation
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    Chapter 2 SavingsAnts for the Vehicle Routing Problem
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    Chapter 3 Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods
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    Chapter 4 Non-parametric Estimation of Properties of Combinatorial Landscapes
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    Chapter 5 Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations
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    Chapter 6 A Performance Comparison of Alternative Heuristics for the Flow Shop Scheduling Problem
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    Chapter 7 Exploiting Fitness Distance Correlation of Set Covering Problems
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    Chapter 8 A Population Based Approach for ACO
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    Chapter 9 Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation
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    Chapter 10 Application of Genetic Algorithms in Nanoscience: Cluster Geometry Optimization
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    Chapter 11 A Memetic Algorithm for Vertex-Biconnectivity Augmentation
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    Chapter 12 Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem
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    Chapter 13 An Experimental Investigation of Iterated Local Search for Coloring Graphs
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    Chapter 14 Solving Car Sequencing Problems by Local Optimization
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    Chapter 15 Evolution Strategies, Network Random Keys, and the One-Max Tree Problem
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    Chapter 16 Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema
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    Chapter 17 Boosting ACO with a Preprocessing Step
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    Chapter 18 A Memetic Algorithm Guided by Quicksort for the Error-Correcting Graph Isomorphism Problem
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    Chapter 19 Evolutionary Techniques for Minimizing Test Signals Application Time
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    Chapter 20 Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming
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    Chapter 21 Using EAs for Error Prediction in Near Infrared Spectroscopy
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    Chapter 22 The Prediction of Journey Times on Motorways Using Genetic Programming
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    Chapter 23 The Boru Data Crawler for Object Detection Tasks in Machine Vision
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    Chapter 24 Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies
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    Chapter 25 Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming
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    Chapter 26 Image Filter Design with Evolvable Hardware
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    Chapter 27 A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture
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    Chapter 28 Efficiently Computable Fitness Functions for Binary Image Evolution
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    Chapter 29 Evolutionary Based Autocalibration from the Fundamental Matrix
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    Chapter 30 Medical Image Registration Using Parallel Genetic Algorithms
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    Chapter 31 Disruption Management for an Airline — Rescheduling of Aircraft
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    Chapter 32 Ant Colony Optimization with the Relative Pheromone Evaluation Method
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    Chapter 33 Improving Street Based Routing Using Building Block Mutations
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Title
Applications of Evolutionary Computing
Published by
Springer Berlin Heidelberg, July 2003
DOI 10.1007/3-540-46004-7
ISBNs
978-3-54-043432-0, 978-3-54-046004-6
Editors

Cagnoni, Stefano, Gottlieb, Jens, Hart, Emma, Middendorf, Martin, Raidl, Günther R.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Peru 1 3%
Mexico 1 3%
United States 1 3%
Czechia 1 3%
Unknown 28 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 8 24%
Researcher 4 12%
Professor 3 9%
Professor > Associate Professor 2 6%
Other 8 24%
Readers by discipline Count As %
Computer Science 17 50%
Engineering 6 18%
Unspecified 3 9%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Other 4 12%