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  • 1
    UID:
    almahu_BV035129582
    Format: XX, 470 S. : , Ill., graph. Darst. ; , 24 cm.
    ISBN: 978-3-540-88907-6 , 3-540-88907-8
    Series Statement: Lecture notes in computer science 5252
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science , Mathematics
    RVK:
    RVK:
    Keywords: Mehrkriterielle Optimierung
    Author information: Branke, Jürgen, 1969-
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  • 2
    UID:
    almahu_9947364299402882
    Format: XX, 470 p. , online resource.
    ISBN: 9783540889083
    Series Statement: Lecture Notes in Computer Science, 5252
    Content: Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.
    Note: Basics on Multiobjective Optimization -- to Multiobjective Optimization: Noninteractive Approaches -- to Multiobjective Optimization: Interactive Approaches -- to Evolutionary Multiobjective Optimization -- Recent Interactive and Preference-Based Approaches -- Interactive Multiobjective Optimization Using a Set of Additive Value Functions -- Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization -- Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization -- Interactive Multiobjective Evolutionary Algorithms -- Visualization of Solutions -- Visualization in the Multiple Objective Decision-Making Framework -- Visualizing the Pareto Frontier -- Modelling, Implementation and Applications -- Meta-Modeling in Multiobjective Optimization -- Real-World Applications of Multiobjective Optimization -- Multiobjective Optimization Software -- Parallel Approaches for Multiobjective Optimization -- Quality Assessment, Learning, and Future Challenges -- Quality Assessment of Pareto Set Approximations -- Interactive Multiobjective Optimization from a Learning Perspective -- Future Challenges.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540889076
    Language: English
    Subjects: Computer Science , Mathematics
    RVK:
    RVK:
    URL: Volltext  (lizenzpflichtig)
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  • 3
    UID:
    almafu_BV011665012
    Format: 169 S. : Ill., graph. Darst.
    Note: Ulm, Univ., Diss., 1997
    Language: German
    Keywords: Maus ; Darm ; Spironucleus muris ; Ribosomale RNS ; Sequenzanalyse ; Phylogenetik ; Termiten ; Darm ; Mikroorganismus ; Ribosomale RNS ; Sequenzanalyse ; Phylogenetik ; Hochschulschrift
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  • 4
    UID:
    almahu_BV011665012
    Format: 169 S. : Ill., graph. Darst.
    Note: Ulm, Univ., Diss., 1997
    Language: German
    Keywords: Maus ; Darm ; Spironucleus muris ; Ribosomale RNS ; Sequenzanalyse ; Phylogenetik ; Termiten ; Darm ; Mikroorganismus ; Ribosomale RNS ; Sequenzanalyse ; Phylogenetik ; Hochschulschrift
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  • 5
    Book
    Book
    Boston [u.a.] :Kluwer Academic,
    UID:
    kobvindex_ZIB000011380
    Format: xiv, 208 p.
    ISBN: 0-7923-7631-5
    Series Statement: Genetic algorithms and evolutionary computation 3
    Language: Undetermined
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  • 6
    UID:
    kobvindex_IGB0010084
    In: Systematic and applied microbiology. - 21(1998)2, S. 212-219
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  • 7
    Online Resource
    Online Resource
    Boston, MA : Springer
    UID:
    gbv_749145617
    Format: Online-Ressource (XIV, 208 p) , digital
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9781461509110
    Series Statement: Genetic Algorithms and Evolutionary Computation 3
    Content: Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to continuously and efficiently adapt a solution to a changing environment, find a good trade-off between solution quality and adaptation cost, find robust solutions whose quality is insensitive to changes in the environment, find flexible solutions which are not only good but that can be easily adapted when necessary. All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms
    Additional Edition: ISBN 9781461353003
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780792376316
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461353003
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461509127
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 8
    UID:
    almahu_9947920539002882
    Format: XX, 568 p. , online resource.
    ISBN: 9783540246534
    Series Statement: Lecture Notes in Computer Science, 3005
    Content: Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning techniques inspired by principles of natural evolution and - netics. Just from this basic de?nition, it is clear that one of the main features of theresearchcommunityinvolvedinthestudyofitstheoryandinitsapplications is multidisciplinarity. For this reason, EC has been able to draw the attention of an ever-increasing number of researchers and practitioners in several ?elds. In its 6-year-long activity, EvoNet, the European Network of Excellence in Evolutionary Computing, has been the natural reference and incubator for that multifaceted community. EvoNet has provided logistic and material support for thosewhowerealreadyinvolvedinECbut,inthe?rstplace,ithashadacritical role in favoring the signi?cant growth of the EC community and its interactions with longer-established ones. The main instrument that has made this possible has been the series of events, ?rst organized in 1998, that have spanned over both theoretical and practical aspects of EC. Ever since 1999, the present format, in which the EvoWorkshops, a collection of workshops on the most application-oriented aspects of EC, act as satellites of a core event, has proven to be very successful and very representative of the multi-disciplinarity of EC. Up to 2003, the core was represented by EuroGP, the main European event dedicated to Genetic Programming. EuroGP has been joined as the main event in 2004 by EvoCOP, formerly part of EvoWorkshops, which has become the European Conference on Evolutionary Computation in Combinatorial Optimization.
    Note: EvoBIO Contributions -- A Memetic Algorithm for Protein Structure Prediction in a 3D-Lattice HP Model -- An Improved Genetic Algorithm for the Sequencing by Hybridization Problem -- Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data -- Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation -- Analysis of Proteomic Pattern Data for Cancer Detection -- Self-Adaptive Scouting—Autonomous Experimentation for Systems Biology -- An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems -- Two-Step Genetic Programming for Optimization of RNA Common-Structure -- Evolutionary Algorithms for Optimal Control in Fed-Batch Fermentation Processes -- Discrete Branch Length Representations for Genetic Algorithms in Phylogenetic Search -- Iteratively Inferring Gene Regulatory Networks with Virtual Knockout Experiments -- Multiple Sequence Alignment Using SAGA: Investigating the Effects of Operator Scheduling, Population Seeding, and Crossover Operators -- Constructing Microbial Consortia with Minimal Growth Using a Genetic Algorithm -- EvoCOMNET Contributions -- 2-Objective Optimization of Cells Overlap and Geometry with Evolutionary Algorithms -- A Genetic Algorithm for Telecommunication Network Design -- A GA/Heuristic Hybrid Technique for Routing and Wavelength Assignment in WDM Networks -- Ant Colony Optimization for the Maximum Edge-Disjoint Paths Problem -- Using Genetic Programming to Design Broadcasting Algorithms for Manhattan Street Networks -- A Scenario-Based Approach to Protocol Design Using Evolutionary Techniques -- EvoHOT Contributions -- A Slicing Structure Representation for the Multi-layer Floorplan Layout Problem -- Disjoint Sum of Product Minimization by Evolutionary Algorithms -- Genetic Algorithms to Improve Mask and Illumination Geometries in Lithographic Imaging Systems -- Multi-objective Genetic Manipulator Trajectory Planner -- Exploiting HW Acceleration for Classifying Complex Test Program Generation Problems -- Evolutionary Design Space Exploration for Median Circuits -- EvoIASP Contributions -- Genetic Optimization of Morphological Filters with Applications in Breast Cancer Detection -- Image Segmentation by a Genetic Fuzzy c-Means Algorithm Using Color and Spatial Information -- Bond-Issuer Credit Rating with Grammatical Evolution -- Using GAs to Create a Waveguide Model of the Oral Vocal Tract -- Vision-Based Hand Motion Capture Using Genetic Algorithm -- Top-Down Evolutionary Image Segmentation Using a Hierarchical Social Metaheuristic -- Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction -- An Algorithm for Segmenting Gaseous Objects on Images -- Evolution Strategies Approach for the Solution of an Inverse Problem in Near-Field Optics -- A Watermark Sharing Scheme to High Quality Halftone Images with Genetic Algorithms -- Using Genetic Programming for Character Discrimination in Damaged Documents -- Evolutionary Algorithm-Based Local Structure Modeling for Improved Active Shape Model -- Multiclass Object Classification Using Genetic Programming -- Program Size and Pixel Statistics in Genetic Programming for Object Detection -- Intrinsic Evolvable Hardware in Digital Filter Design -- EvoMUSART Contributions -- Swarm Granulator -- Aesthetic Video Filter Evolution in an Interactive Real-Time Framework -- Generative Art: Fuzzy Polygon Clipping in Program Generated Line Oriented Drawings -- Tilings of Sequences of Co-evolved Images -- Adaptive Critics for Evolutionary Artists -- Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes Using the Universal Similarity Metric -- Improvisational Media Space: Architecture and Strategies for Evolution -- The Virtual Ecosystem as Generative Electronic Art -- Aesthetic Evolution of L-Systems Revisited -- EvoSTOC Contributions -- Multi-swarm Optimization in Dynamic Environments -- Evolutionary Algorithms for Stochastic Arc Routing Problems -- A Hierarchical Particle Swarm Optimizer for Dynamic Optimization Problems -- Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept -- Competitive Goal Coordination in Automatic Parking -- Evolutionary Bayesian Network Dynamic Planner for Game RISK.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540213789
    Language: English
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  • 9
    UID:
    almahu_9947364411102882
    Format: XVII, 328 p. 112 illus. , online resource.
    ISBN: 9783642165764
    Series Statement: Lecture Notes in Computer Science, 6407
    Content: Computing systems including hardware, software, communication, and networks are becoming increasingly large and heterogeneous. In short, they have become - creasingly complex. Such complexity is getting even more critical with the ubiquitous permeation of embedded devices and other pervasive systems. To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on self-manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-* properties to the maximum extent possible without human intervention or guidance. Organic computing (OC) additionally addresses adaptability, robustness, and c- trolled emergence as well as nature-inspired concepts for self-organization. Any autonomic or organic system must be trustworthy to avoid the risk of losing control and retain confidence that the system will not fail. Trust and/or distrust relationships in the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems, and services. Trusted/ trustworthy computing (TC) aims at making computing and communication systems––as well as services––available, predictable, traceable, controllable, asse- able, sustainable, dependable, persistent, security/privacy protectable, etc. A series of grand challenges exists to achieve practical autonomic or organic s- tems with truly trustworthy services. Started in 2005, ATC conferences have been held at Nagasaki (Japan), Vienna (Austria), Three Gorges (China), Hong Kong (China), Oslo (Norway) and Brisbane (Australia). The 2010 proceedings contain the papers presented at the 7th International Conference on Autonomic and Trusted Computing (ATC 2010), held in Xi’an, China, October 26–29, 2010.
    Note: Autonomic and Organic Computing -- Self-organizing Computer Vision for Robust Object Tracking in Smart Cameras -- A Formal Framework for Compositional Verification of Organic Computing Systems -- On-Line Adaptive Algorithms in Autonomic Restart Control -- Designing Self-healing in Automotive Systems -- Trustworthy Organic Computing Systems: Challenges and Perspectives -- AC/OC Network and Protocol -- Adaptive Control of Sensor Networks -- Design of Location-Based Hierarchical Overlay Network Supporting P2PSIP Conferencing Service -- Trust Models and Application -- Effects of Displaying Trust Information on Mobile Application Usage -- Context Based Trust Normalization in Service-Oriented Environments -- A Framework for Trust Enabled Software Asset Retrieval -- Opportunistic Trust Based P2P Services Framework for Disconnected MANETs -- A Risk-Aware Resource Service Decision Strategy for Global Computing -- Trustworthy Computing -- Message Race Detection for Web Services by an SMT-Based Analysis -- A User-Oriented Approach to Assessing Web Service Trustworthiness -- Improving the Trustworthiness of Service QoS Information in Service-Based Systems -- Using ELECTRE TRI Outranking Method to Evaluate Trustworthy Software -- The Testing Method for Interface Customized Component -- Trust-Related Security -- A New Monitor Model for Enhancing Trust-Based Systems -- Design and Analysis of “Flexible” k-out-of-n Signatures -- A Formal Framework for Trust Policy Negotiation in Autonomic Systems: Abduction with Soft Constraints -- Invited Session -- Towards Autonomic Mode Control of a Scalable Intrusion Tolerant Architecture -- Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace -- On Alleviating Reader Collisions Towards High Efficient RFID Systems.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642165757
    Language: English
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  • 10
    UID:
    almahu_9947364247702882
    Format: XVII, 719 p. 173 illus. , online resource.
    ISBN: 9783642172984
    Series Statement: Lecture Notes in Computer Science, 6457
    Note: Invited Paper -- Theoretical Developments -- Evolutionary Algorithms and Applications -- Learning Methodologies -- Multi-Objective Evolutionary Algorithms and Applications -- Hybrid Algorithms -- Industrial Applications.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642172977
    Language: English
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