Lecture Notes in Computer Science : EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000 Proceedings - Stefano Cagnoni

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Lecture Notes in Computer Science

EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000 Proceedings

By: Stefano Cagnoni (Editor), Riccardo Poli (Editor), George D. Smith (Editor)

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Paperback | 29 March 2000

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The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.

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EvoIASP Talks
Special Purpose Image Convolution with Evolvable Hardware	p. 1
Stereoscopic Vision for a Humanoid Robot Using Genetic Programming	p. 12
A Faster Genetic Clustering Algorithm	p. 22
Scene Interpretation Using Semantic Nets and Evolutionary Computation	p. 34
Evolutionary Wavelet Bases in Signal Spaces	p. 44
EvoIASP Posters
Finding Golf Courses: The Ultra High Tech Approach	p. 54
Sound Localization for a Humanoid Robot by Means of Genetic Programming	p. 65
On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection	p. 77
Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis	p. 87
Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex method, and Their Hybrid	p. 97
EvoSCONDI Papers
A Genetic Algorithm with Local Search for Solving Job Shop Problems	p. 107
Distributed Learning Control of Traffic Signals	p. 117
Time Series Prediction by Growing Lateral Delay Neural Networks	p. 127
Trajectory Controller Network and Its Design Automation Through Evolutionary Computing	p. 139
Evolutionary Computation and Nonlinear Programming in Multi-model-Robust Control Design	p. 147
Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms	p. 158
Automatic Synthesis of Both the Topology and Parameters for a Controller for a Three-Lag Plant with a Five-Second Delay Using Genetic Programming	p. 168
Automatic Design of Multivariate QFT Control System via Evolutionary Computation	p. 178
Development of Power Transformer Thermal Models for Oil Temperature Prediction	p. 195
EvoTel Talks
Automatic Validation of Protocol Interfaces Described in VHDL	p. 205
Evolutive Modeling of TCP/IP Network Traffic for Intrusion Detection	p. 214
Multimodal Performance Profiles on the Adaptive Distributed Database Management Problem	p. 224
Protocol Construction Using Genetic Search Techniques	p. 235
EvoTel Posters
Prediction of Power Requirements for High-Speed Circuits	p. 247
A Communication Architecture for Multi-agent Learning Systems	p. 255
EvoSTIM Papers
An Ambulance Crew Rostering System	p. 267
A Systematic Investigation of GA Performance on Job Shop Scheduling Problems	p. 277
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems	p. 287
A New Genetic Representation and Common Cluster Crossover for Job Shop Scheduling Problems	p. 297
Optimising an Evolutionary Algorithm for Scheduling	p. 307
EvoRob Papers
On-Line Evolution of Control for a Four-Legged Robot Using Genetic Programming	p. 319
Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM	p. 327
Self-Adaptive Mutation in ZCS Controllers	p. 339
Using a Hybrid Evolutionary-A* Approach for Learning Reactive Behaviors	p. 347
EvoFlight Papers
Supervised Evolutionary Methods in Aerodynamic Design Optimization	p. 357
An Evolutionary Algorithm for Large Scale Set Covering Problems with Application to Airline Crew Scheduling	p. 367
Design, Implementation, and Application of a Tool for Optimal Aircraft Positioning	p. 382
Author Index	p. 395
Table of Contents provided by Publisher. All Rights Reserved.

Lecture Notes in Computer Science

EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000 Proceedings

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