Avineri / Kacprzyk / Köppen Applications of Soft Computing

Updating the State of the Art
1. Auflage 2008
ISBN: 978-3-540-88079-0
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 52, 274 Seiten

Reihe: Advances in Intelligent and Soft Computing

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

Autoren/Hrsg.

Kacprzyk, Janusz

Avineri, Erel

Köppen, Mario

Dahal, Keshav

Sunitiyoso, Yos

Roy, Rajkumar

Koeppen, Mario

Inhaltsverzeichnis

1;Preface;6
2;Welcome Note by the World Federation on Soft Computing ( WFSC) Chair Person;8
3;WSC12 Best Paper Award;9
4;Organization;10
5;Plenary Presentation Abstracts;13
6;List of Contributors;15
7;Contents;21
8;Design of Soft Computing Techniques;24
8.1;Linguistic Information in Dynamical Fuzzy Systems — An Overview;25
8.2;PSO-Optimized Negative Selection Algorithm for Anomaly Detection;35
8.3;Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms;44
8.4;Comparison of Effective Assessment Functions for Optimized Sensor System Design;56
8.5;Visualization and Complexity Reduction of Neural Networks;65
9;Modelling, Control and Optimization;75
9.1;Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units;76
9.2;Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms;86
9.3;A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach;96
9.4;Use of Multi-objective Evolutionary Algorithms in Extrusion Scale- Up;107
10;Signal Processing and Pattern Recognition;116
10.1;A Multi-Agent Classifier System Based on the Trust- Negotiation- Communication Model;117
10.2;Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment;127
10.3;An Evolutionary Approach to Digitalized Hand Signs Recognition;135
11;Civil Engineering;145
11.1;Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach;146
11.2;Air Quality Forecaster: Moving Window Based Neuro Models;156
12;Computer Graphics, Imaging and Vision;165
12.1;Automatic 3D Modeling of Skulls by Scatter Search and Heuristic Features;166
12.2;Multi-modal Registration Using a Combined Similarity Measure;176
12.3;An Investigation into Neural Networks for the Detection of Exudates in Retinal Images;186
12.4;An Optimisation Approach to Palette Reordering for Indexed Image Compression;195
13;Production, Manufacturing, and Design;203
13.1;Weighted Tardiness Scheduling with Sequence- Dependent Setups: A Benchmark Problem for Soft Computing;204
13.2;An Exploration of Genetic Process Mining;214
14;Traffic and Transportation Systems;224
14.1;An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization;225
14.2;Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling;235
14.3;The Role of the Uncertainty in ATIS Applications;244
14.4;Human-Like Adaptive Cruise Control Systems through a Learning Machine Approach;254
14.5;Fuzzy Evaluation of Contra-Flow Evacuation Plans in Texas Medical Center;264
14.6;Arrow Exit Sign Placement on Highway Using Fuzzy Table Look- Up Scheme;274
15;Index;284
16;Author Index;286