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Applications of Evolutionary Computation

Overview of attention for book
Applications of Evolutionary Computation
Springer-Verlag Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Investigation of Hyper-Heuristics for Designing Survivable Virtual Topologies in Optical WDM Networks
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    Chapter 2 On Improving the Capacity of Solving Large-scale Wireless Network Design Problems by Genetic Algorithms
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    Chapter 3 Dynamic Routing Exponent Strategies for Ant-Based Protocols
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    Chapter 4 Ant-Based Multipath Routing for Wireless Mesh Networks
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    Chapter 5 A Multiobjective Gravitational Search Algorithm Applied to the Static Routing and Wavelength Assignment Problem
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    Chapter 6 A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization
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    Chapter 7 Extremal Optimization Applied to Task Scheduling of Distributed Java Programs
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    Chapter 8 Data-Centered Scheduling for Addressing Performance Metrics on WSN
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    Chapter 9 Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Time Series Modeling
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    Chapter 10 Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework
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    Chapter 11 Macro-Economic Time Series Modeling and Interaction Networks
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    Chapter 12 Learning and Predicting Financial Time Series by Combining Natural Computation and Agent Simulation
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    Chapter 13 A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling
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    Chapter 14 On the Performance and Convergence Properties of Hybrid Intelligent Schemes: Application on Portfolio Optimization Domain
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    Chapter 15 Genetic Defect Based March Test Generation for SRAM
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    Chapter 16 Improving ESOP-Based Synthesis of Reversible Logic Using Evolutionary Algorithms
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    Chapter 17 Evolution of Test Programs Exploiting a FSM Processor Model
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    Chapter 18 Enhanced Reverse Engineering Using Genetic-Algorithms-Based Experimental Parallel Workflow for Optimum Design
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    Chapter 19 Fault-Tolerance Simulation of Brushless Motor Control Circuits
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    Chapter 20 Parallel Evolutionary Optimization of Digital Sound Synthesis Parameters
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    Chapter 21 Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design
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    Chapter 22 Music Translation of Tertiary Protein Structure: Auditory Patterns of the Protein Folding
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    Chapter 23 Ludic Considerations of Tablet-Based Evo-Art
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    Chapter 24 Evolving Art Using Multiple Aesthetic Measures
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    Chapter 25 A Genetic Algorithm for Dodecaphonic Compositions
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    Chapter 26 A Customizable Recognizer for Orchestral Conducting Gestures Based on Neural Networks
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    Chapter 27 Generative Art Inspired by Nature, Using NodeBox
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    Chapter 28 Evolving Four-Part Harmony Using Genetic Algorithms
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    Chapter 29 A Sonic Eco-System of Self-Organising Musical Agents
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    Chapter 30 Creating Choreography with Interactive Evolutionary Algorithms
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    Chapter 31 Modelling Human Preference in Evolutionary Art
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    Chapter 32 Evolution of Architectural Floor Plans
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    Chapter 33 Path of Patches: Implementing an Evolutionary Soundscape Art Installation
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    Chapter 34 Weighted Markov Chain Model for Musical Composer Identification
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    Chapter 35 Applications of Evolutionary Computation
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    Chapter 36 Neurogranular Synthesis: Granular Synthesis Controlled by a Pulse-Coupled Network of Spiking Neurons
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    Chapter 37 Interactive Biomimetic Space: An Interactive Installation to Explore Living Architecture
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    Chapter 38 Using Grammatical Evolution to Parameterise Interactive 3D Image Generation
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    Chapter 39 Evolving Textures from High Level Descriptions: Gray with an Accent Color
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    Chapter 40 Aesthetic Classification and Sorting Based on Image Compression
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    Chapter 41 iSoundScape: Adaptive Walk on a Fitness Soundscape
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    Chapter 42 The T. albipennis Sand Painting Artists
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    Chapter 43 Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation
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    Chapter 44 Nature-Inspired Optimization for Biped Robot Locomotion and Gait Planning
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    Chapter 45 Experimental Comparison of Selection Hyper-heuristics for the Short-Term Electrical Power Generation Scheduling Problem
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    Chapter 46 A Genetic Algorithm for Radiotherapy Pre-treatment Scheduling
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    Chapter 47 Planning and Optimising Organisational Travel Plans Using an Evolutionary Algorithm
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    Chapter 48 A PSO-Based Memetic Algorithm for the Team Orienteering Problem
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    Chapter 49 Heuristics for a Real-World Mail Delivery Problem
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    Chapter 50 Integrated Generation of Working Time Models and Staff Schedules in Workforce Management
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    Chapter 51 Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
Attention for Chapter 7: Extremal Optimization Applied to Task Scheduling of Distributed Java Programs
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Chapter title
Extremal Optimization Applied to Task Scheduling of Distributed Java Programs
Chapter number 7
Book title
Applications of Evolutionary Computation
Published by
Springer, Berlin, Heidelberg, April 2011
DOI 10.1007/978-3-642-20520-0_7
Book ISBNs
978-3-64-220519-4, 978-3-64-220520-0
Authors

Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik, Laskowski, Eryk, Tudruj, Marek, Falco, Ivanoe, Scafuri, Umberto, Tarantino, Ernesto, Olejnik, Richard, Falco, Ivanoe De

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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