Ebook: Applications of Soft Computing: Updating the State of Art

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.

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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.

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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.
Content:
Front Matter....Pages -
Front Matter....Pages 1-1
Linguistic Information in Dynamical Fuzzy Systems — An Overview....Pages 3-12
PSO-Optimized Negative Selection Algorithm for Anomaly Detection....Pages 13-21
Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms....Pages 22-33
Comparison of Effective Assessment Functions for Optimized Sensor System Design....Pages 34-42
Visualization and Complexity Reduction of Neural Networks....Pages 43-52
Front Matter....Pages 53-54
Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units....Pages 55-64
Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms....Pages 65-74
A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach....Pages 75-85
Use of Multi-objective Evolutionary Algorithms in Extrusion Scale-Up....Pages 86-94
Front Matter....Pages 95-96
A Multi-Agent Classifier System Based on the Trust-Negotiation-Communication Model....Pages 97-106
Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment....Pages 107-114
An Evolutionary Approach to Digitalized Hand Signs Recognition....Pages 115-124
Front Matter....Pages 125-126
Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach....Pages 127-136
Air Quality Forecaster: Moving Window Based Neuro Models....Pages 137-146
Front Matter....Pages 147-149
Automatic 3D Modeling of Skulls by Scatter Search and Heuristic Features....Pages 149-158
Multi-modal Registration Using a Combined Similarity Measure....Pages 159-168
An Investigation into Neural Networks for the Detection of Exudates in Retinal Images....Pages 169-177
An Optimisation Approach to Palette Reordering for Indexed Image Compression....Pages 178-185
Front Matter....Pages 187-189
Weighted Tardiness Scheduling with Sequence-Dependent Setups: A Benchmark Problem for Soft Computing....Pages 189-198
An Exploration of Genetic Process Mining....Pages 199-208
Front Matter....Pages 209-210
An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization....Pages 211-220
Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling....Pages 221-229
The Role of the Uncertainty in ATIS Applications....Pages 230-239
Human-Like Adaptive Cruise Control Systems through a Learning Machine Approach....Pages 240-249
Fuzzy Evaluation of Contra-Flow Evacuation Plans in Texas Medical Center....Pages 250-259
Arrow Exit Sign Placement on Highway Using Fuzzy Table Look-Up Scheme....Pages 260-269
Back Matter....Pages -

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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.
Content:
Front Matter....Pages -
Front Matter....Pages 1-1
Linguistic Information in Dynamical Fuzzy Systems — An Overview....Pages 3-12
PSO-Optimized Negative Selection Algorithm for Anomaly Detection....Pages 13-21
Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms....Pages 22-33
Comparison of Effective Assessment Functions for Optimized Sensor System Design....Pages 34-42
Visualization and Complexity Reduction of Neural Networks....Pages 43-52
Front Matter....Pages 53-54
Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units....Pages 55-64
Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms....Pages 65-74
A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach....Pages 75-85
Use of Multi-objective Evolutionary Algorithms in Extrusion Scale-Up....Pages 86-94
Front Matter....Pages 95-96
A Multi-Agent Classifier System Based on the Trust-Negotiation-Communication Model....Pages 97-106
Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment....Pages 107-114
An Evolutionary Approach to Digitalized Hand Signs Recognition....Pages 115-124
Front Matter....Pages 125-126
Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach....Pages 127-136
Air Quality Forecaster: Moving Window Based Neuro Models....Pages 137-146
Front Matter....Pages 147-149
Automatic 3D Modeling of Skulls by Scatter Search and Heuristic Features....Pages 149-158
Multi-modal Registration Using a Combined Similarity Measure....Pages 159-168
An Investigation into Neural Networks for the Detection of Exudates in Retinal Images....Pages 169-177
An Optimisation Approach to Palette Reordering for Indexed Image Compression....Pages 178-185
Front Matter....Pages 187-189
Weighted Tardiness Scheduling with Sequence-Dependent Setups: A Benchmark Problem for Soft Computing....Pages 189-198
An Exploration of Genetic Process Mining....Pages 199-208
Front Matter....Pages 209-210
An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization....Pages 211-220
Incorporating Fuzzy Reference Points into Applications of Travel Choice Modeling....Pages 221-229
The Role of the Uncertainty in ATIS Applications....Pages 230-239
Human-Like Adaptive Cruise Control Systems through a Learning Machine Approach....Pages 240-249
Fuzzy Evaluation of Contra-Flow Evacuation Plans in Texas Medical Center....Pages 250-259
Arrow Exit Sign Placement on Highway Using Fuzzy Table Look-Up Scheme....Pages 260-269
Back Matter....Pages -
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