Ebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV: International Conference held at Leiden University, July 10-13, 2013
- Tags: Computational Intelligence, Artificial Intelligence (incl. Robotics)
- Series: Advances in Intelligent Systems and Computing 227
- Year: 2013
- Publisher: Springer International Publishing
- Edition: 1
- Language: English
- pdf
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
Content:
Front Matter....Pages 1-12
Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation....Pages 1-15
Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle....Pages 17-30
Training Multilayer Perceptron by Conformal Geometric Evolutionary Algorithm....Pages 31-45
RotaSVM: A New Ensemble Classifier....Pages 47-57
Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation....Pages 59-73
Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees....Pages 75-89
Sewer Network Design Optimization Problem Using Ant Colony Optimization Algorithm and Tree Growing Algorithm....Pages 91-105
An Ant-Based Optimization Approach for Inventory Routing....Pages 107-121
Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques....Pages 123-137
A Benchmark on the Interaction of Basic Variation Operators in Multi-objective Peptide Design Evaluated by a Three Dimensional Diversity Metric and a Minimized Hypervolume....Pages 139-153
Logarithmic-Time Updates in SMS-EMOA and Hypervolume-Based Archiving....Pages 155-169
Computing the Set of Approximate Solutions of a Multi-objective Optimization Problem by Means of Cell Mapping Techniques....Pages 171-188
The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume....Pages 189-205
A Hybrid Algorithm for the Simple Cell Mapping Method in Multi-objective Optimization....Pages 207-223
Planning and Allocation Tasks in a Multicomputer System as a Multi-objective Problem....Pages 225-244
Real World System Architecture Design Using Multi-criteria Optimization: A Case Study....Pages 245-260
A Self-adaptive Genetic Algorithm Applied to Multi-Objective Optimization of an Airfoil....Pages 261-276
Genetic Programming with Scale-Free Dynamics....Pages 277-291
Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search....Pages 293-305
Evidence Theory Based Multidisciplinary Robust Optimization for Micro Mars Entry Probe Design....Pages 307-322
Back Matter....Pages 323-324
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
Content:
Front Matter....Pages 1-12
Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation....Pages 1-15
Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle....Pages 17-30
Training Multilayer Perceptron by Conformal Geometric Evolutionary Algorithm....Pages 31-45
RotaSVM: A New Ensemble Classifier....Pages 47-57
Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation....Pages 59-73
Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees....Pages 75-89
Sewer Network Design Optimization Problem Using Ant Colony Optimization Algorithm and Tree Growing Algorithm....Pages 91-105
An Ant-Based Optimization Approach for Inventory Routing....Pages 107-121
Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques....Pages 123-137
A Benchmark on the Interaction of Basic Variation Operators in Multi-objective Peptide Design Evaluated by a Three Dimensional Diversity Metric and a Minimized Hypervolume....Pages 139-153
Logarithmic-Time Updates in SMS-EMOA and Hypervolume-Based Archiving....Pages 155-169
Computing the Set of Approximate Solutions of a Multi-objective Optimization Problem by Means of Cell Mapping Techniques....Pages 171-188
The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume....Pages 189-205
A Hybrid Algorithm for the Simple Cell Mapping Method in Multi-objective Optimization....Pages 207-223
Planning and Allocation Tasks in a Multicomputer System as a Multi-objective Problem....Pages 225-244
Real World System Architecture Design Using Multi-criteria Optimization: A Case Study....Pages 245-260
A Self-adaptive Genetic Algorithm Applied to Multi-Objective Optimization of an Airfoil....Pages 261-276
Genetic Programming with Scale-Free Dynamics....Pages 277-291
Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search....Pages 293-305
Evidence Theory Based Multidisciplinary Robust Optimization for Micro Mars Entry Probe Design....Pages 307-322
Back Matter....Pages 323-324
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