| Description |
1 online resource (xii, 278 pages) |
| Series |
Lecture notes in computer science, 0302-9743 ; 7244 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 7244.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
|
| Contents |
Evolving High-Level Imperative Program Trees with Strongly Formed Genetic Programming / Tom Castle and Colin G. Johnson -- Android Genetic Programming Framework / Alban Cotillon, Philip Valencia and Raja Jurdak -- Genetic Programming for Generalised Helicopter Hovering Control / Dimitris C. Dracopoulos and Dimitrios Effraimidis -- Cartesian Genetic Programming for Memristive Logic Circuits / Gerard David Howard, Larry Bull and Andrew Adamatzky -- A New, Node-Focused Model for Genetic Programming / David Jackson -- Medial Crossovers for Genetic Programming / Krzysztof Krawiec -- Improving Face Detection / Penousal Machado, João Correia and Juan Romero -- Grammar Bias and Initialisation in Grammar Based Genetic Programming / Eoin Murphy, Erik Hemberg, Miguel Nicolau, Michael O'Neill and Anthony Brabazon -- Improving Relevance Measures Using Genetic Programming / Kourosh Neshatian and Mengjie Zhang -- An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics / Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill and Alexandros Agapitos -- Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming / Su Nguyen, Mengjie Zhang, Mark Johnston and Kay Chen Tan -- Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution / Miguel Nicolau, Matthew Saunders, Michael O'Neill, Bruce Osborne and Anthony Brabazon -- Multi-Objective Ant Programming for Mining Classification Rules / Juan Luis Olmo, José Raúl Romero and Sebastián Ventura |
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Matrix Analysis of Genetic Programming Mutation / Andrew J. Parkes, Ender Özcan and Matthew R. Hyde -- An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps / Tom Seaton, Julian F. Miller and Tim Clarke -- Coevolution in Cartesian Genetic Programming / Michaela Šikulová and Lukáš Sekanina -- Evolutionary Design of Message Efficient Secrecy Amplification Protocols / Tobiáš Smolka, Petr Švenda, Lukáš Sekanina and Vashek Matyáš -- Automatic Design of Ant Algorithms with Grammatical Evolution / Jorge Tavares and Francisco B. Pereira -- Random Sampling Technique for Overfitting Control in Genetic Programming / Ivo Gonçalves, Sara Silva, Joana B. Melo and João M.B. Carreiras -- Evolutionary Operator Self-adaptation with Diverse Operators / MinHyeok Kim, Robert Ian (Bob) McKay, Dong-Kyun Kim and Xuan Hoai Nguyen -- The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-Like Robot / Ivan Tanev, Tüze Kuyucu and Katsunori Shimohara -- Bayesian Network Structure Learning from Limited Datasets through Graph Evolution / Alberto Paolo Tonda, Evelyne Lutton, Romain Reuillon, Giovanni Squillero and Pierre-Henri Wuillemin -- Efficient Phenotype Evaluation in Cartesian Genetic Programming / Zdeněk Vašíček and Karel Slaný |
| Summary |
Annotation This book constitutes the refereed proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 18 revised full papers presented together with 5 poster papers were carefully reviewed and selected from 46 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, grammar-based, Cartesian), theory, novel operators, and applications |
| Analysis |
Computer science |
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Computer software |
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Artificial intelligence |
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Bioinformatics |
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Programming Techniques |
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Computation by Abstract Devices |
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Algorithm Analysis and Problem Complexity |
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Information Systems Applications (incl. Internet) |
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Computational Biology/Bioinformatics |
| Notes |
International conference proceedings |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
English |
| In |
Springer eBooks |
| Subject |
Genetic programming (Computer science) -- Congresses
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Artificial intelligence.
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Electronic Data Processing
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Software
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Artificial Intelligence
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Computational Biology
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software.
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artificial intelligence.
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Informatique.
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Genetic programming (Computer science)
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Moraglio, Alberto
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| ISBN |
9783642291395 |
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3642291392 |
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