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Refinar búsquedaAdvances in Modeling Agricultural Systems / SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji (2009)
Título : Advances in Modeling Agricultural Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 25 Número de páginas: X, 522 p. 172 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-75181-8 Idioma : Inglés (eng) Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Advances in Modeling Agricultural Systems [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Petraq J. Papajorgji . - Boston, MA : Springer US, 2009 . - X, 522 p. 172 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 25) .
ISBN : 978-0-387-75181-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Information technology Business Data processing Software engineering Computer simulation Agriculture mathematics Computational Science and Engineering Simulation Modeling Environmental Monitoring/Analysis IT in Clasificación: 51 Matemáticas Resumen: This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field Nota de contenido: The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce En línea: http://dx.doi.org/10.1007/978-0-387-75181-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33858 Ejemplares
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Título : Country Risk Evaluation Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Kyriaki Kosmidou ; Michael Doumpos ; Constantin Zopounidis Editorial: Boston, MA : Springer US Fecha de publicación: 2008 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 15 Número de páginas: X, 120 p. 17 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-76680-5 Idioma : Inglés (eng) Palabras clave: Business Management science Mathematical optimization Probabilities Statistics Econometrics Public finance Economics and Management, general Optimization for Business/Economics/Mathematical Finance/Insurance Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance. Written by experts in the fields of multicriteria methodology, credit risk assessment, operations research, and financial management, this book develops a comprehensive framework for evaluating models based on several classification techniques that emerge from different theoretical directions. This book compares different statistical and data mining techniques, noting the advantages of each method, and introduces new multicriteria methodologies that are important to country risk modeling. Key topics include: A review of country risk definitions and an overview of the most recent tools in country risk management In-depth analysis of statistical, econometric and non-parametric classification techniques Several real-world applications of the methodologies described throughout the text Future research directions for country risk assessment problems This work is a useful toolkit for economists, financial managers, bank managers, operations researchers, management scientists, and risk analysts. Moreover, the book can also be used as a supplementary text for graduate courses in finance and financial risk management Nota de contenido: Preface -- Chapter 1. Introduction -- Chapter 2. Review of Methodologies -- Chapter 3. Applications -- Chapter 4. Conclusions -- References. - Index En línea: http://dx.doi.org/10.1007/978-0-387-76680-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34225 Country Risk Evaluation [documento electrónico] / SpringerLink (Online service) ; Kyriaki Kosmidou ; Michael Doumpos ; Constantin Zopounidis . - Boston, MA : Springer US, 2008 . - X, 120 p. 17 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 15) .
ISBN : 978-0-387-76680-5
Idioma : Inglés (eng)
Palabras clave: Business Management science Mathematical optimization Probabilities Statistics Econometrics Public finance Economics and Management, general Optimization for Business/Economics/Mathematical Finance/Insurance Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance. Written by experts in the fields of multicriteria methodology, credit risk assessment, operations research, and financial management, this book develops a comprehensive framework for evaluating models based on several classification techniques that emerge from different theoretical directions. This book compares different statistical and data mining techniques, noting the advantages of each method, and introduces new multicriteria methodologies that are important to country risk modeling. Key topics include: A review of country risk definitions and an overview of the most recent tools in country risk management In-depth analysis of statistical, econometric and non-parametric classification techniques Several real-world applications of the methodologies described throughout the text Future research directions for country risk assessment problems This work is a useful toolkit for economists, financial managers, bank managers, operations researchers, management scientists, and risk analysts. Moreover, the book can also be used as a supplementary text for graduate courses in finance and financial risk management Nota de contenido: Preface -- Chapter 1. Introduction -- Chapter 2. Review of Methodologies -- Chapter 3. Applications -- Chapter 4. Conclusions -- References. - Index En línea: http://dx.doi.org/10.1007/978-0-387-76680-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34225 Ejemplares
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Título : Data Mining and Knowledge Discovery via Logic-Based Methods : Theory, Algorithms, and Applications Tipo de documento: documento electrónico Autores: Evangelos Triantaphyllou ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2010 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 43 Número de páginas: XXXIV, 350 p. 91 illus., 9 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4419-1630-3 Idioma : Inglés (eng) Palabras clave: Computer science Operations research Decision making logic Mathematical Data mining Management Science Mining and Knowledge Discovery Logics Meanings of Programs Logic Foundations Research, Formal Languages Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research Nota de contenido: Algorithmic Issues -- Inferring a Boolean Function from Positive and Negative Examples -- A Revised Branch-and-Bound Approach for Inferring a Boolean Function from Examples -- Some Fast Heuristics for Inferring a Boolean Function from Examples -- An Approach to Guided Learning of Boolean Functions -- An Incremental Learning Algorithm for Inferring Boolean Functions -- A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples -- The Rejectability Graph of Two Sets of Examples -- Application Issues -- The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis -- Data Mining and Knowledge Discovery by Means of Monotone Boolean Functions -- Some Application Issues of Monotone Boolean Functions -- Mining of Association Rules -- Data Mining of Text Documents -- First Case Study: Predicting Muscle Fatigue from EMG Signals -- Second Case Study: Inference of Diagnostic Rules for Breast Cancer -- A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis -- Conclusions En línea: http://dx.doi.org/10.1007/978-1-4419-1630-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33602 Data Mining and Knowledge Discovery via Logic-Based Methods : Theory, Algorithms, and Applications [documento electrónico] / Evangelos Triantaphyllou ; SpringerLink (Online service) . - Boston, MA : Springer US, 2010 . - XXXIV, 350 p. 91 illus., 9 illus. in color : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 43) .
ISBN : 978-1-4419-1630-3
Idioma : Inglés (eng)
Palabras clave: Computer science Operations research Decision making logic Mathematical Data mining Management Science Mining and Knowledge Discovery Logics Meanings of Programs Logic Foundations Research, Formal Languages Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research Nota de contenido: Algorithmic Issues -- Inferring a Boolean Function from Positive and Negative Examples -- A Revised Branch-and-Bound Approach for Inferring a Boolean Function from Examples -- Some Fast Heuristics for Inferring a Boolean Function from Examples -- An Approach to Guided Learning of Boolean Functions -- An Incremental Learning Algorithm for Inferring Boolean Functions -- A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples -- The Rejectability Graph of Two Sets of Examples -- Application Issues -- The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis -- Data Mining and Knowledge Discovery by Means of Monotone Boolean Functions -- Some Application Issues of Monotone Boolean Functions -- Mining of Association Rules -- Data Mining of Text Documents -- First Case Study: Predicting Muscle Fatigue from EMG Signals -- Second Case Study: Inference of Diagnostic Rules for Breast Cancer -- A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis -- Conclusions En línea: http://dx.doi.org/10.1007/978-1-4419-1630-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33602 Ejemplares
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Título : Data Mining for Biomarker Discovery Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Petros Xanthopoulos ; Michalis Zervakis Editorial: Boston, MA : Springer US Fecha de publicación: 2012 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 65 Número de páginas: XIV, 246 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-2107-8 Idioma : Inglés (eng) Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Operations research Management science Research, Science Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research from select participants of the “International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery,” held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms Nota de contenido: Preface -- 1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang) -- Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis) -- 3. EEG Features as Biomarkers for Discrimination of Pre-ictal states (A. Tsimpiris, D. Kugiumtzis) -- 4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non-epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D.-S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos) -- 5. Classification of Tree and Network Topology Structures in Medical Images (A. Skoura, V. Megalooikonomou, A. Diamantopolous, G.C. Kagadis, D. Karnabatidis) -- 6. A Framework for Multi-Modal Imagin Biomarker Extraction with Application to Brain MRI (K. Maria, V. Sakkalis, N. Graf) -- 7. A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data (E. Tsolaki, E. Kousi, E. Kapsalaki, I. Dimou, K. Theodorou, G. C. Manikis, C. Kappas, I. Tsougos) -- 8. Data Mining for Cancer Biomarkers with Raman Spectroscopy (M.B.Fenn, V. Pappu) -- 9. Nonlinear Recognition Methods for Oncological Pathologies (G. Patrizi, V. Pietropaolo, A. Carbone, R. De Leone, L. Di Giacomo, V. Losaco, G. Patrizi) -- 10. Studying Connectivity Properties in Human Protein Interation Network in Cancer Pathway (V. Tomaino, A. Arulselvan, P. Veltri, P.M. Pardalos) -- 11. Modeling of Oral Cancer Progression Using Dynamic Bayesian Networks (K.P. Exarchos, G. Rigas, Y. Golestsis, D.I. Fotiadis) -- 12. Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS Radiological and Histopathological Findings (P. Drakatos, D. Lykouras, F. Sampsonas, K. Karkoulias, K. Spiropoulos) -- 13. Data Mining System Applied to Population Databases for Studies on Lung Cancer (J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano) En línea: http://dx.doi.org/10.1007/978-1-4614-2107-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32782 Data Mining for Biomarker Discovery [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Petros Xanthopoulos ; Michalis Zervakis . - Boston, MA : Springer US, 2012 . - XIV, 246 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 65) .
ISBN : 978-1-4614-2107-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Operations research Management science Research, Science Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research from select participants of the “International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery,” held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms Nota de contenido: Preface -- 1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang) -- Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis) -- 3. EEG Features as Biomarkers for Discrimination of Pre-ictal states (A. Tsimpiris, D. Kugiumtzis) -- 4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non-epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D.-S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos) -- 5. Classification of Tree and Network Topology Structures in Medical Images (A. Skoura, V. Megalooikonomou, A. Diamantopolous, G.C. Kagadis, D. Karnabatidis) -- 6. A Framework for Multi-Modal Imagin Biomarker Extraction with Application to Brain MRI (K. Maria, V. Sakkalis, N. Graf) -- 7. A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data (E. Tsolaki, E. Kousi, E. Kapsalaki, I. Dimou, K. Theodorou, G. C. Manikis, C. Kappas, I. Tsougos) -- 8. Data Mining for Cancer Biomarkers with Raman Spectroscopy (M.B.Fenn, V. Pappu) -- 9. Nonlinear Recognition Methods for Oncological Pathologies (G. Patrizi, V. Pietropaolo, A. Carbone, R. De Leone, L. Di Giacomo, V. Losaco, G. Patrizi) -- 10. Studying Connectivity Properties in Human Protein Interation Network in Cancer Pathway (V. Tomaino, A. Arulselvan, P. Veltri, P.M. Pardalos) -- 11. Modeling of Oral Cancer Progression Using Dynamic Bayesian Networks (K.P. Exarchos, G. Rigas, Y. Golestsis, D.I. Fotiadis) -- 12. Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS Radiological and Histopathological Findings (P. Drakatos, D. Lykouras, F. Sampsonas, K. Karkoulias, K. Spiropoulos) -- 13. Data Mining System Applied to Population Databases for Studies on Lung Cancer (J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano) En línea: http://dx.doi.org/10.1007/978-1-4614-2107-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32782 Ejemplares
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Título : Differential Evolution : In Search of Solutions Tipo de documento: documento electrónico Autores: Vitaliy Feoktistov ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 5 Número de páginas: XII, 196 p Il.: online resource ISBN/ISSN/DL: 978-0-387-36896-2 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Computer programming Artificial intelligence Algorithms Mathematical optimization Computational Optimization Intelligence (incl. Robotics) Programming Techniques Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimal—in other words, the best possible—solutions for situations or problems they face. Most of these problems can be expressed in mathematical terms, and so the methods of optimization undoubtedly render a significant aid. In cases where there are many local optima; intricate constraints; mixed-type variables; or noisy, time-dependent or otherwise ill-defined functions, the usual methods don’t give satisfactory results. Are you seeking fresh ideas or more efficient methods, or do you perhaps want to be well-informed about the latest achievements in optimization? If so, this book is for you. This book develops a unified insight on population-based optimization through Differential Evolution, one of the most recent and efficient optimization algorithms. You will find, in this book, everything concerning Differential Evolution and its application in its newest formulation. This book will be a valuable source of information for a very large readership, including researchers, students and practitioners. The text may be used in a variety of optimization courses as well. Features include: Neoteric view of Differential Evolution Unique formula of global optimization The best known metaheuristics through the prism of Differential Evolution Revolutionary ideas in population-based optimization Audience Differential Evolution will be of interest to students, teachers, engineers, and researchers from various fields, including computer science, applied mathematics, optimization and operations research, artificial evolution and evolutionary algorithms, telecommunications, engineering design, bioinformatics and computational chemistry, chemical engineering, mechanical engineering, electrical engineering, and physics Nota de contenido: Differential Evolution -- Neoteric Differential Evolution -- Strategies of Search -- Exploration and Exploitation -- New Performance Measures -- Transversal Differential Evolution -- On Analogy with Some Other Algorithms -- Energetic Selection Principle -- On Hybridization of Differential Evolution -- Applications -- End Notes En línea: http://dx.doi.org/10.1007/978-0-387-36896-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34835 Differential Evolution : In Search of Solutions [documento electrónico] / Vitaliy Feoktistov ; SpringerLink (Online service) . - Boston, MA : Springer US, 2006 . - XII, 196 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 5) .
ISBN : 978-0-387-36896-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Computer programming Artificial intelligence Algorithms Mathematical optimization Computational Optimization Intelligence (incl. Robotics) Programming Techniques Operation Research/Decision Theory Clasificación: 51 Matemáticas Resumen: The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimal—in other words, the best possible—solutions for situations or problems they face. Most of these problems can be expressed in mathematical terms, and so the methods of optimization undoubtedly render a significant aid. In cases where there are many local optima; intricate constraints; mixed-type variables; or noisy, time-dependent or otherwise ill-defined functions, the usual methods don’t give satisfactory results. Are you seeking fresh ideas or more efficient methods, or do you perhaps want to be well-informed about the latest achievements in optimization? If so, this book is for you. This book develops a unified insight on population-based optimization through Differential Evolution, one of the most recent and efficient optimization algorithms. You will find, in this book, everything concerning Differential Evolution and its application in its newest formulation. This book will be a valuable source of information for a very large readership, including researchers, students and practitioners. The text may be used in a variety of optimization courses as well. Features include: Neoteric view of Differential Evolution Unique formula of global optimization The best known metaheuristics through the prism of Differential Evolution Revolutionary ideas in population-based optimization Audience Differential Evolution will be of interest to students, teachers, engineers, and researchers from various fields, including computer science, applied mathematics, optimization and operations research, artificial evolution and evolutionary algorithms, telecommunications, engineering design, bioinformatics and computational chemistry, chemical engineering, mechanical engineering, electrical engineering, and physics Nota de contenido: Differential Evolution -- Neoteric Differential Evolution -- Strategies of Search -- Exploration and Exploitation -- New Performance Measures -- Transversal Differential Evolution -- On Analogy with Some Other Algorithms -- Energetic Selection Principle -- On Hybridization of Differential Evolution -- Applications -- End Notes En línea: http://dx.doi.org/10.1007/978-0-387-36896-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34835 Ejemplares
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