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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 Artificial Immune System for Classification of Cancer
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    Chapter 2 Pattern Search in Molecules with FANS: Preliminary Results
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    Chapter 3 Applying Memetic Algorithms to the Analysis of Microarray Data
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    Chapter 4 Gene Network Reconstruction Using a Distributed Genetic Algorithm with a Backprop Local Search
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    Chapter 5 Promoter Prediction with a GP-Automaton
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    Chapter 6 Chromosomal Breakpoint Detection in Human Cancer
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    Chapter 7 Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm
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    Chapter 8 Genetic Algorithms for Gene Expression Analysis
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    Chapter 9 Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
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    Chapter 10 Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies
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    Chapter 11 Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification
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    Chapter 12 Generalisation and Model Selection in Supervised Learning with Evolutionary Computation
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    Chapter 13 Genetic Algorithms on NK-Landscapes: Effects of Selection, Drift, Mutation, and Recombination
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    Chapter 14 Multilevel Heuristic Algorithm for Graph Partitioning
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    Chapter 15 Experimental Comparison of Two Evolutionary Algorithms for the Independent Set Problem
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    Chapter 16 New Ideas for Applying Ant Colony Optimization to the Probabilistic TSP
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    Chapter 17 An Experimental Comparison of Two Different Encoding Schemes for the Location of Base Stations in Cellular Networks
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    Chapter 18 Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
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    Chapter 19 Constrained Coverage Optimisation for Mobile Cellular Networks
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    Chapter 20 Combinations of Local Search and Exact Algorithms
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    Chapter 21 On Confidence Intervals for the Number of Local Optima
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    Chapter 22 Searching for Maximum Cliques with Ant Colony Optimization
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    Chapter 23 A Study of Greedy, Local Search, and Ant Colony Optimization Approaches for Car Sequencing Problems
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    Chapter 24 Evolutionary Computing for the Satisfiability Problem
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    Chapter 25 Guiding Single-Objective Optimization Using Multi-objective Methods
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    Chapter 26 A Genetic Algorithm for the Index Selection Problem
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    Chapter 27 A Template Approach to Producing Incremental Objective Cost Functions for Local Search Meta-heuristics
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    Chapter 28 Analyzing a Unified Ant System for the VRP and Some of Its Variants
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    Chapter 29 Adapting to Complexity During Search in Combinatorial Landscapes
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    Chapter 30 Search Space Analysis of the Linear Ordering Problem
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    Chapter 31 Ant Algorithms for the University Course Timetabling Problem with Regard to the State-of-the-Art
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    Chapter 32 Multiple Genetic Snakes for Bone Segmentation
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    Chapter 33 Mobile Robot Sensor Fusion Using Flies
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    Chapter 34 Anticipating Bankruptcy Reorganisation from Raw Financial Data Using Grammatical Evolution
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    Chapter 35 GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages
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    Chapter 36 Evolutionary Approach to Discovery of Classification Rules from Remote Sensing Images
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    Chapter 37 Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems
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    Chapter 38 Accurate L-Corner Measurement Using USEF Functions and Evolutionary Algorithms
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    Chapter 39 On Two Approaches to Image Processing Algorithm Design for Binary Images Using GP
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    Chapter 40 Restoration of Old Documents with Genetic Algorithms
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    Chapter 41 The Effectiveness of Cost Based Subtree Caching Mechanisms in Typed Genetic Programming for Image Segmentation
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    Chapter 42 Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
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    Chapter 43 The Emergence of Social Learning in Artificial Societies
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    Chapter 44 Tabula Rasa : A Case Study in Evolutionary Curation
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    Chapter 45 MusicBlox: A Real-Time Algorithmic Composition System Incorporating a Distributed Interactive Genetic Algorithm
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    Chapter 46 Towards a Prehistory of Evolutionary and Adaptive Computation in Music
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    Chapter 47 ArtiE-Fract: The Artist’s Viewpoint
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    Chapter 48 Evolutionary Music and the Zipf-Mandelbrot Law: Developing Fitness Functions for Pleasant Music
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    Chapter 49 Genophone: Evolving Sounds and Integral Performance Parameter Mappings
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    Chapter 50 Genetic Improvisation Model A Framework for Real-Time Performance Environments
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    Chapter 51 On the Development of Critics in Evolutionary Computation Artists
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    Chapter 52 Genetic Algorithms for the Generation of Models with Micropopulations
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    Chapter 53 Evolution of Collective Behavior in a Team of Physically Linked Robots
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    Chapter 54 Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
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    Chapter 55 Competitive Co-evolution of Predator and Prey Sensory-Motor Systems
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    Chapter 56 Evolving Spiking Neuron Controllers for Phototaxis and Phonotaxis
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    Chapter 57 Evolving Neural Networks for the Control of a Lenticular Blimp
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    Chapter 58 Evolving Symbolic Controllers
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    Chapter 59 Evolving Motion of Robots with Muscles
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    Chapter 60 Behavioural Plasticity in Autonomous Agents: A Comparison between Two Types of Controller
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    Chapter 61 DNA Based Algorithms for Some Scheduling Problems
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    Chapter 62 Learning Action Strategies for Planning Domains Using Genetic Programming
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    Chapter 63 Routing Using Evolutionary Agents and Proactive Transactions
Attention for Chapter 45: MusicBlox: A Real-Time Algorithmic Composition System Incorporating a Distributed Interactive Genetic Algorithm
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Chapter title
MusicBlox: A Real-Time Algorithmic Composition System Incorporating a Distributed Interactive Genetic Algorithm
Chapter number 45
Book title
Applications of Evolutionary Computing
Published by
Springer, Berlin, Heidelberg, April 2003
DOI 10.1007/3-540-36605-9_45
Book ISBNs
978-3-54-000976-4, 978-3-54-036605-8
Authors

Andrew Gartland-Jones

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 12%
Portugal 1 6%
United States 1 6%
Unknown 13 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Master 4 24%
Lecturer 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Other 3 18%
Readers by discipline Count As %
Computer Science 9 53%
Arts and Humanities 4 24%
Engineering 2 12%
Philosophy 1 6%
Unknown 1 6%