Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II
Evolutionary computation (EC) techniques are efficient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse range of activities including problem solving, optimization, machine learnin and pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop efficient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops — has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared, while others have matured to be come conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
1020663024
Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II
Evolutionary computation (EC) techniques are efficient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse range of activities including problem solving, optimization, machine learnin and pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop efficient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops — has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared, while others have matured to be come conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
109.99 In Stock
Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II

Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II

Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II

Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II

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Overview

Evolutionary computation (EC) techniques are efficient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse range of activities including problem solving, optimization, machine learnin and pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop efficient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops — has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared, while others have matured to be come conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.

Product Details

ISBN-13: 9783642122415
Publisher: Springer Berlin Heidelberg
Publication date: 05/21/2010
Series: Lecture Notes in Computer Science , #6025
Edition description: 2010
Pages: 476
Product dimensions: 6.10(w) x 9.20(h) x 1.00(d)

Table of Contents

EvoCOMNET Contributions

Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm Ugur Akyazi A. Sima Uyar 1

Performance Evaluation of an Artificial Neural Network-Based Adaptive Antenna Array System Muamar Al-Bajari Jamal M. Ahmed Mustafa B. Ayoob 11

Automatic Parameter Tuning with Metaheuristics of the AODV Routing Protocol for Vehicular Ad-Hoc Networks José García-Nieto Enrique Alba 21

WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm Ting Hu Yuanzhu Peter Chen Wolfgang Banzhaf 31

Markov Chain Models for Genetic Algorithm Based Topology Control in MANETs Cem Safak Sahin Stephen Gundry Elkin Urrea M. Ümit Uyar Michael Conner Giorgio Bertoli Christian Pizzo 41

Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks Nor Azlina Ab. Aziz Ammar W. Mohemmed Mengjie Zhang 51

Efficient Load Balancing for a Resilient Packet Ring Using Artificial Bee Colony Anabela Moreira Bernardino Eugénia Moreira Bernardino Juan Manuel Sánchez-Pérez Juan Antonio Gómez-Pulido Miguel Angel Vega-Rodríguez 61

TCP Modification Robust to Packet Reordering in Ant Routing Networks Malgorzata Gadomska-Kudelska Andrzej Pacut 71

Solving the Physical Impairment Aware Routing and Wavelength Assignment Problem in Optical WDM Networks Using a Tabu Search Based Hyper-Heuristic Approach Ali Keles A. Sima Uyar Aysegül Yayimli 81

A Generalized, Location-Based Model of Connections in Ad-Hoc Networks Improving the Performance of Ant Routing Michal Kudelski Andrzej Pacut 91

Using Code Bloat to Obfuscate Evolved Network Traffic Patrick LaRoche Nur Zincir-Heywood Malcolm I. Heywood 101

ABC Supported Handoff Decision Scheme Based on Population Migration Xingwei Wang Hui Cheng Peiyu Qin Min Huang Lei Guo 111

EvoENVIRONMENT Contributions

A Hyper-Heuristic Approach for the Unit Commitment Problem Argun Berberoglu A. Sima Uyar 121

Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions Marco Lotz Sara Silva 131

Influence of Topology and Payload on CO2 Optimised Vehicle Routing Cathy Scott Neil Urquhart Emma Hart 141

Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms Ilaria Bertini Matteo De Felice Fabio Moretti Stefano Pizzuti 151

EvoFIN Contributions

A Study of Nature-Inspired Methods for Financial Trend Reversal Detection Antonia Azzini Matteo De Felice Andrea G.B. Tettamanzi 161

Outperforming Buy-and-Hold with Evolved Technical Trading Rules: Daily, Weekly and Monthly Trading Dome Lohpetch David Corne 171

Evolutionary Multi-stage Financial Scenario Tree Generation Ronald Hochreiter 182

Evolving Dynamic Trade Execution Strategies Using Grammatical Evolution Wei Cui Anthony Brabazon Michael O'Neill 192

Modesty Is the Best Policy: Automatic Discovery of Viable Forecasting Goals in Financial Data Fiacc Larkin Conor Ryan 202

Threshold Recurrent Reinforcement Learning Model for Automated Trading Dietmar Maringer Tikesh Ramtohul 212

Active Portfolio Management from a Fuzzy Multi-objective Programming Perspective Nikos S. Thomaidis 222

Evolutionary Monte Carlo Based Techniques for First Passage Time Problems in Credit Risk and Other Applications in Finance Olena Tsviliuk Roderick Melnik Di Zhang 232

Calibrating the Heston Model with Differential Evolution Manfred Gilli Enrico Schumann 242

Evolving Trading Rule-Based Policies Robert Gregory Bradley Anthony Brabazon Michael O'Neill 251

EvoMUSART Contributions

Evolving Artistic Styles through Visual Dialogues Jae C. Oh Edward Zajec 261

Graph-Based Evolution of Visual Languages Penousal Machado Henrique Nunes Juan Romero 271

Refinement Techniques for Animated Evolutionary Photomosaics Using Limited Tile Collections Shahrul Badariah Mat Sah Vic Ciesielski Daryl D'Souza 281

Generative Art and Evolutionary Refinement Gary Greenfield 291

Aesthetic Learning in an Interactive Evolutionary Art System Yang Li Chang-Jun Hu 301

Comparing Aesthetic Measures for Evolutionary Art E. den Heijer A.E. Eiben 311

The Problem with Evolutionary Art Is Philip Galanter 321

Learning to Dance through Interactive Evolution Greg A. Dubbin Kenneth O. Stanley 331

Jive: A Generative, Interactive, Virtual, Evolutionary Music System Jianhua Shao James McDermott Michael O'Neill Anthony Brabazon 341

A Neural Network for Bass Functional Harmonization Roberto De Prisco Antonio Eletto Antonio Torre Rocco Zaccagnino 351

Combining Musical Constraints with Markov Transition Probabilities to Improve the Generation of Creative Musical Structures Stephen Davismoon John Eccles 361

Dynamic Musical Orchestration Using Genetic Algorithms and a Spectro-Temporal Description of Musical Instruments Philippe Esling Grégoire Carpentier Carlos Agon 371

Evolutionary Sound Synthesis: Rendering Spectrograms from Cellular Automata Histograms Jaime Serquera Eduardo R. Miranda 381

Sound Agents Philippe Codognet Olivier Pasquet 391

From Evolutionary Composition to Robotic Sonification Artemis Moroni Jônatas Manzolli 401

Musical Composer Identification through Probabilistic and Feedforward Neural Networks Maximos A. Kaliakatsos-Papakostas Michael G. Epitropakis Michael N. Vrahatis 411

EvoTRANSLOG Contributions

Using an Evolutionary Algorithm to Discover Low CO2 Tours within a Travelling Salesman Problem Neil Urquhart Cathy Scott Emma Hart 421

A Genetic Algorithm for the Traveling Salesman Problem with Pickup and Delivery Using Depot Removal and Insertion Moves Volkan Çinar Temel Öncan Haldun Süral 431

Fast Approximation Heuristics for Multi-Objective Vehicle Routing Problems Martin Josef Geiger 441

Particle Swarm Optimization and an Agent-Based Algorithm for a Problem of Staff Scheduling Maik Günther Volker Nissen 451

A Math-Heuristic for the Multi-Level Capacitated Lot Sizing Problem with Carryover Marco Caserta Adriana Ramirez Stefan Voβ 462

Author Index 473

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