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  • 1
    Book
    Book
    Evolutionary computing : AISB international workshop, Manchester, U.K., April 7 - 8, 1997 ; selected papers (1997)
    Berlin [u.a.] : Springer
    Details
    UID:
    b3kat_BV011610858
    Format: X, 306 S. , Ill., graph. Darst.
    ISBN: 3540634762
    Series Statement: Lecture notes in computer science 1305
    Language: English
    Subjects: Computer Science
    RVK:
    SS 1997
    RVK:
    SS 4800
    Keywords: Evolutionärer Algorithmus ; Konferenzschrift ; Kongress - Manchester 〈1997〉 - Evolutionäre Programmierung
    Author information: Corne, David 1962-
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  • 2
    Book
    Book
    Membrane computing : 9th international workshop, WMC 2008, Edinburgh, UK, July 28 - 31, 2008 ; revised selected and invited papers (2009)
    Berlin [u.a.] :Springer,
    Details
    UID:
    almahu_BV035388037
    Format: IX, 402 S. : , graph. Darst. ; , 24 cm.
    ISBN: 978-3-540-95884-0
    Series Statement: Lecture notes in computer science 5391
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Biocomputer ; Komplexitätstheorie ; Biologisches System ; Biomembran ; Polynomialzeitalgorithmus ; Biocomputer ; Konferenzschrift ; Konferenzschrift ; Kongress ; Konferenzschrift
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017308870&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
    URL: Inhaltsverzeichnis
    URL: http://d-nb.info/99214776X/04
    Author information: Corne, David, 1962-
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  • 3
    Online Resource
    Online Resource
    Creative evolutionary systems / (2002)
    San Francisco, CA :Morgan Kaufmann ;
    Details
    UID:
    almahu_9948026147202882
    Format: 1 online resource (617 p.)
    Edition: 1st edition
    ISBN: 1-281-07176-5 , 9786611071769 , 0-08-050337-3
    Series Statement: The Morgan Kaufmann Series in Artificial Intelligence
    Content: The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and design. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabilities of evolutionary computation from optimization of existing
    Note: Description based upon print version of record. , Front Cover; Creative Evolutionary Systems; Copyright Page; Contents; Foreword; Contributors; Preface; An Introduction to Creative Evolutionary Systems; Introduction; AI and Creativity; Evolutionary Computation; Creative Evolutionary Systems; Is Evolution Creative?; PART I: Evolutionary Creativity; Chapter 1. Creativity in Evolution: Individuals, Interactions, and Environments; 1.1 Introduction; 1.2 Creativity and Opened-Ended Evolution; 1.3 Design Issues; 1.4 A Full Specification For An Open-Ended Evolutionary Process; 1.5 Conclusions; Acknowledgments; References , Chapter 2. Recognizability of the Idea: The Evolutionary Process of Argenia2.1 Introduction; 2.2 Recognizability, Identity, and Complexity; 2.3 Evolutionary Codes: Artificial DNA; 2.4 Natural/Artificial Complexity; 2.5 Giotto, a Medieval Idea in Evolution; 2.6 Rome, Future Scenarios; 2.7 Basilica, Generative Software to Design Complexity; 2.8 Madrid and Milan, Generated Architecture; 2.9 Argenia, the Natural Industrial Object, and the Artificial Uniqueness of Species; 2.10 Argenic Art: Picasso; 2.11 Conclusions; References; Chapter 3. Breeding Aesthetic Objects: Art and Artificial Evolution , 3.1 Introduction3.2 Breeding Aesthetic Objects; 3.3 Breeding and Creation; 3.4 Limits; 3.5 Driessens and Verstappen-an Alternative Approach; 3.6 Conclusions; References; Chapter 4. The Beer Can Theory of Creativity; 4.1 Introduction; 4.2 Culture as an Evolutionary Process; 4.3 Creativity as the Origin of Culture; 4.4 What Caused the Onset of Creativity?; 4.5 Conclusions; Acknowledgments; References; PART II: Evolutionary Music; Chapter 5. Genjim: Evolution of a Jazz Improviser; 5.1 Introduction; 5.2 Overview and Architecture; 5.3 Representations; 5.4 Genetic Operators and Training , 5.5 Real-Time Interaction5.6 Conclusions; References; Chapter 6. On the Origins and Evolution of Music in Virtual Worlds; 6.1 Introduction; 6.2 Evolutionary Modeling; 6.3 Evolving Sound with Cellular Automata; 6.4 Commentary on the Results; 6.5 Conclusions; Acknowledgments; References; Chapter 7. Vox Populi: Evolutionary Computation for Music Evolution; 7.1 Introduction; 7.2 Sound Attributes; 7.3 Evolutionary Musical Cycle; 7.4 Fitness Evaluation; 7.5 Interface and Parameter Control; 7.6 Experiments; 7.7 Conclusions; Acknowledgments; References , Chapter 8. The Sound Gallery---An Interactive A-Life Artwork8.1 Introduction; 8.2 Evolvable Hardware; 8.3 Gallery Setup; 8.4 Contextualization: Artificial Life and Art; 8.5 The Sound Gallery Algorithms; 8.6 The Experiment; 8.7 Conclusions; Acknowledgments; References; PART III: Creative Evolutionary Design; Chapter 9. Creative Design and the Generative Evolutionary Paradigm; 9.1 Introduction; 9.2 The Adaptive Model from Nature; 9.3 The Generative Evolutionary Paradigm; 9.4 Problems with the Paradigm; 9.5 Concept Seeding Approach; 9.6 The Reptile Demonstration , 9.7 Universal State Space Modeler , English
    Additional Edition: ISBN 1-55860-673-4
    Language: English
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  • 4
    Online Resource
    Online Resource
    Evolutionary computation in bioinformatics / (2003)
    Amsterdam ; : Morgan Kaufmann Publishers,
    Details
    UID:
    almahu_9949697815802882
    Format: 1 online resource (425 p.)
    ISBN: 1-281-07810-7 , 9786611078102 , 0-08-050608-9
    Series Statement: The Morgan Kaufmann Series in Artificial Intelligence
    Content: Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researchers in evolutionary computation (EC) have turned their attention to these problems. They understand the power of EC to rapidly search very large and complex spaces and return reasonable solutions. While these researchers are increasingly interested in problems from the biological sciences, EC and its
    Note: Description based upon print version of record. , 2.3 Evolutionary Computation within the Context of Computer Science2.4 Concluding Remarks; Part II: Sequence and Structure Alignment; Chapter 3. Determining Genome Sequences from Experimental Data Using Evolutionary Computation; 3.1 Introduction; 3.2 Formulation of the Sequence Reconstruction Problem; 3.3 A Hybrid Genetic Algorithm for Sequence Reconstruction; 3.4 Results from Computational Experiments; 3.5 Concluding Remarks; Chapter 4. Protein Structure Alignment Using Evolutionary Computation; 4.1 Introduction; 4.2 Methods; 4.3 Results and Discussion; 4.4 Concluding Remarks , Chapter 5. Using Genetic Algorithms for Pairwise and Multiple Sequence Alignments5.1 Introduction; 5.2 Evolutionary Algorithms and Simulated Annealing; 5.3 SAGA: A Genetic Algorithm Dedicated to Sequence Aligmnent; 5.4 Applications: Choice of an Appropriate Objective Function; 5.5 Concluding Remarks; Part III: Protein Folding; Chapter 6. On the Evolutionary Search for Solutions to the Protein Folding Problem; 6.1 Introduction; 6.2 Problem Overview; 6.3 Protein Computer Models; 6.4 Discussion; 6.5 Concluding Remarks , Chapter 7. Toward Effective Polypeptide Structure Prediction with Parallel Fast Messy Genetic Algorithms7.1 Introduction; 7.2 Fast Messy Genetic Algorithms; 7.3 Experimental Methodology; 7.4 Protein Structure Prediction with Secondary Structure Computation; 7.5 Effects of Seeding the Population; 7.6 Concluding Remarks; Chapter 8. Application of Evolutionary Computation to Protein Folding with Specialized Operators; 8.1 Introduction; 8.2 Multiple-Criteria Optimization of Protein Conformations; 8.3 Specialized Variation Operators; 8.4 GA Performance; 8.5 Concluding Remarks , Part IV: Machine Learning and InferenceChapter 9. Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks; 9.1 Introduction; 9.2 Evolved Artificial Neural Networks for Gene Identification; 9.3 Concluding Remarks; Chapter 10. Clustering Microarray Data with Evolutionary Algorithms; 10.1 Introduction; 10.2 The k-Means Technique; 10.3 The ArrayMiner Software; 10.4 Concluding Remarks; Chapter 11. Evolutionary Computation and Fractal Visualization of Sequence Data; 11.1 Introduction; 11.2 The Chaos Game; 11.3 IFSs; 11.4 Chaos Automata: Adding Memory , 11.5 Preliminary Conclusions , English
    Additional Edition: ISBN 1-55860-797-8
    Language: English
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  • 5
    Book
    Book
    Evolutionary computing : AISB International Workshop, Manchester, UK, April 7 - 8, 1997 ; proceedings (1997)
    Berlin : Springer
    Details
    UID:
    gbv_233570268
    Format: X, 306 S. , graph. Darst.
    ISBN: 3540634762
    Series Statement: Lecture notes in computer science 1305
    Note: Literaturangaben
    Additional Edition: Erscheint auch als Online-Ausgabe Corne, David, 1962 - Evolutionary Computing Berlin, Heidelberg : Springer Berlin Heidelberg, 1997 ISBN 9783540634768
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Evolutionäre Programmierung ; Evolutionäre Programmierung ; Konferenzschrift ; Konferenzschrift
    URL: http://www.loc.gov/catdir/enhancements/fy0812/97036127-d.html
    Author information: Corne, David 1962-
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  • 6
    Online Resource
    Online Resource
    Membrane computing : 9th international workshop, WMC 2008, Edinburgh, UK, July 28 - 31, 2008 ; revised selected and invited papers (2009)
    Berlin [u.a.] : Springer
    Details
    UID:
    b3kat_BV035438475
    Format: 1 Online-Ressource (IX, 402 S.) , graph. Darst.
    ISBN: 9783540958840 , 9783540958857
    Series Statement: Lecture notes in computer science 5391
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Biocomputer ; Komplexitätstheorie ; Biologisches System ; Biomembran ; Polynomialzeitalgorithmus ; Biocomputer ; Konferenzschrift ; Konferenzschrift
    DOI: 10.1007/978-3-540-95885-7
    URL: Volltext
    URL: Volltext
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltstext
    Author information: Corne, David 1962-
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    Online Resource
    Online Access
    Open Access Request
    UB Potsdam
    BTU Cottbus
  • 7
    Online Resource
    Online Resource
    Telecommunications optimization : heuristics and adaptive techniques (2000)
    Chichester ; : Wiley,
    Details
    UID:
    almafu_9959328180102883
    Format: 1 online resource (xii, 400 pages) : , illustrations
    ISBN: 0471988553 , 9780471988557 , 047084163X , 9780470841631 , 1280555068 , 9781280555060 , 9780470853382 , 0470853387
    Content: Written in an accessible and easy-to-read style, this cutting-edge book presents advanced solutions to current and future telecommunications optimization problems. The field of telecommunications is growing and changing ever more rapidly, presenting new real-world problems for optimization researchers to address. Telecommunications engineers tend to know all about the problems involved but are often not aware of developments in computer science and artificial intelligence that might solve those problems. This unique book takes a colloborative approach describing the essence of the problems and then the heuristic and adaptive techniques which are now recognised as adept at solving these problems. In addition the emerging technologies in telecommunications and increasing use of the Internet expand the role that advanced heuristic and adaptive methods can play.; Topics covered include: Heuristic techniques covering local search methods and population-based search techniques Adaptive computation techniques covering neural computation, fuzzy logic and game theory Practical and successful ways to address problems in network design and planning, routing, protocol design and network management This state-of-the-art book will be an essential resource for optimization researchers needing a wider appreciation of the problems in telecommunications, and indispensable for telecommunications engineers using heuristic and adaptive techniques.
    Note: Contents; Contributors; Preface; Acknowledgements; 1 Heuristic and Adaptive Techniques in Telecommunications: An Introduction; 2 Evolutionary Methods for the Design of Reliable Networks; 3 Efficient Network Design using Heuristic and Genetic Algorithms; 4 Tabu Search and Evolutionary Scatter Search for 'Tree-Star' Network Problems, with Applications to Leased Line Network Design; 5 Addressing Optimization Issues in Network Planning with Evolutionary Computation; 6 Node-Pair Encoding Genetic Programming for Optical Mesh Network Topology Design; 7 Optimizing The Access Network. , 8 Routing Control in Packet Switched Networks using Soft Computing Techniques9 The Genetic Adaptive Routing Algorithm; 10 Optimization of Restoration and Routing Strategies; 11 GA-based Verification of Network Protocols Performance; 12 Neural Networks for the Optimization of Runtime Adaptable Communication Protocols; 13 Adaptive Demand-based Heuristics for Traffic Reduction in Distributed Information Systems; 14 Exploring Evolu.
    Additional Edition: Print version: Telecommunications optimization. Chichester ; New York : Wiley, 2000 ISBN 0471988553
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    DOI: 10.1002/047084163X
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/047084163X
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/047084163X
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/047084163X
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  • 8
    Online Resource
    Online Resource
    Computational intelligence in bioinformatics / (2008)
    Piscataway, NJ :Wiley-IEEE ;
    Details
    UID:
    almafu_9959327557602883
    Format: 1 online resource (xix, 355 pages) : , illustrations
    ISBN: 9780470199091 , 0470199091 , 9780470199084 , 0470199083
    Series Statement: IEEE Press series on computational intelligence
    Content: The book is comprised of carefully developed and edited contributions by leading educators that explain and apply CI methods to central bioinformatics problems such as drug docking, sequence alignment, phylogenetic reconstruction, metabolic network infere.
    Note: Gene Expression Analysis and Systems Biology -- , Hybrid of Neural Classifier and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures / , Classifying Gene Expression Profiles with Evolutionary Computation / , Finding Clusters in Gene Expression Data Using EvoCluster / , Gene Networks and Evolutionary Computation / , Sequence Analysis and Feature Detection -- , Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data / , Evolutionary Feature Selection for Bioinformatics / , Fuzzy Approaches for the Analysis CpG Island Methylation Patterns / , Molecular Structure and Phylogenetics -- , Protein-Ligand Docking with Evolutionary Algorithms / , RNA Secondary Structure Prediction Employing Evolutionary Algorithms / , Machine Learning Approach for Prediction of Human Mitochondrial Proteins / , Phylogenetic Inference Using Evolutionary Algorithms / , Medicine -- , Evolutionary Algorithms for Cancer Chemotherapy Optimization / , Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts /
    Additional Edition: Prin verson: Computational intelligence in bioinformatics. Hoboken, N.J. : John Wiley & Sons, Inc., ©2008 ISBN 9780470105269
    Language: English
    Keywords: Electronic books. ; Electronic books.
    DOI: 10.1002/9780470199091
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470199091
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470199091
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  • 9
    Book
    Book
    New ideas in optimization (1999)
    London [u.a.] : McGraw-Hill
    Details
    UID:
    b3kat_BV012719555
    Format: XII, 493 S. , graph. Darst.
    ISBN: 0077095065
    Series Statement: Advanced topics in computer science series
    Language: English
    Subjects: Computer Science , Mathematics
    RVK:
    SK 870
    RVK:
    ST 134
    RVK:
    ST 230
    Keywords: Optimierung ; Aufsatzsammlung
    URL: Inhaltsverzeichnis
    Author information: Corne, David 1962-
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  • 10
    Online Resource
    Online Resource
    Evolutionary Multi-Criterion Optimization : First International Conference, EMO 2001 Zurich, Switzerland, March 79, 2001 Proceedings (2001)
    Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
    Details
    UID:
    gbv_626360137
    Format: Online-Ressource
    ISBN: 9783540447191
    Series Statement: Lecture Notes in Computer Science 1993
    Additional Edition: Buchausg. u.d.T.: Evolutionary multi-criterion optimization
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Mehrkriterielle Optimierung ; Evolutionärer Algorithmus ; Konferenzschrift ; Konferenzschrift
    URL: Volltext
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    URL: Inhaltsverzeichnis
    URL: Kapitel 1
    Author information: Corne, David 1962-
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    Online Access
    UB Potsdam
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