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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

AISC: EVLV-BRDG BTWN PRBBLTY SET ORNTD NMRCS & EVLTNRY

Mathematics

Mathematics & Science

Gt Product Group

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Marketing Imprint Name

B2B GT

CL Carton Count

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLJR

COLSO

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
Preface.
Organization.
Contents.
1: Machine Learning and Probabilistic Models.
2: Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation.
3: Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle.
4: Training Multilayer Perceptron by Conformal Geometric Evolutionary Algorithm.
5: RotaSVM: A New Ensemble Classifier.
6: Complex Networks and Evolutionary Computation.
7: Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation.
8: Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees.
9: Sewer Network Design Optimization Problem Using Ant Colony Optimization Algorithm and Tree Growing Algorithm.
10: An Ant-Based Optimization Approach for Inventory Routing.
11: Diversity Oriented Optimization.
12: Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques.
13: 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.
14: Logarithmic-Time Updates in SMS-EMOA and Hypervolume-Based Archiving.
15: Set-Oriented Numerics and Evolutionary Multiobjective Optimization.
16: Computing the Set of Approximate Solutions of a Multi-objective Optimization Problem by Means of Cell Mapping Techniques.
17: The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume.
18: A Hybrid Algorithm for the Simple Cell Mapping Method in Multi-objective Optimization.
19: Planning and Allocation Tasks in a Multicomputer System as a Multi-objective Problem.
20: Real World System Architecture Design Using Multi-criteria Optimization: A Case Study.
21: A Self-adaptive Genetic Algorithm Applied to Multi-Objective Optimization of an Airfoil.
22: Genetic Programming.
23: Genetic Programming with Scale-Free Dynamics.
24: Preliminary Study of Bloat in Genetic Programming with Behavior-Based Search.
25: Robust Optimization.
26: Evidence Theory Based Multidisciplinary Robust Optimization for Micro Mars Entry Probe Design.
Author Index.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV.css-1p8rvzy{position:absolute;padding-left:8px;}

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV