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1. Learning and Intelligent Optimization : 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. 1st ed. 2020
edited by Ilias S. Kotsireas, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Theoretical Computer Science and General Issues ; 12096
オンライン: https://doi.org/10.1007/978-3-030-53552-0
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Optimization for Urban Air Mobility
A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking
Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective
QPTAS for the CVRP with a moderate number of routes in a metric space of any xed doubling dimension
Early detection of eating disorders through machine learning techniques
On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances
Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks
A Class of Linear Programs Solvable by Coordinate-wise Minimization
Travel times equilibration procedure for route- flow traffic assignment problem
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
Randomized Algorithms for Some Sequence Clustering Problems
Hyper-parameterized Dialectic Search for Non-Linear Box-constrained Optimization with Heterogenous Variable Types
Least Squares K-SVCR Multi-class Classification
Active learning based framework for image captioning corpus creation
Reducing space search in combinatorial optimization using machine learning tools
Impact of the Discretization of VOCs for Cancer Prediction using a Multi-Objective Algorithm
AUGMECON2 method for a bi-objective U-shaped assembly line balancing problem
Two-Channel Conflict-Free Square Grid Aggregation
Online Stacking using RL with Positional and Tactical Features
Power consumption estimation in data centers using machine learning techniques
Automated tuning of a column generation algorithm
Pool-based Realtime Algorithm Configuration: A Preselection Bandit Approach
A Memetic Approach for the Unicost Set Covering Problem
Dynamic Visual Few-Shot Learning through Parameter Prediction Network
An Alternating DCA-based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation
PSO-based cooperative learning using chunking
The problem of the hospital surgery department debottlenecking
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels
HotelSimu: Simulation-based Optimization for Hotel Dynamic Pricing
Heuristic Search Strategies for Noisy Optimization
Uncertainty of efficient frontier in portfolio optimization
Learning to configure mathematical programming solvers by mathematical programming
Convex Hulls in Solving Multiclass Pattern Recognition Problem
Least Correntropic Loss Regression
Novelty Discovery with Kernel Minimum Enclosing Balls
DESICOM as Metaheuristic Search
Optimization for Urban Air Mobility
A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking
Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective
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2. Theory of Information and its Value. 1st ed. 2020
by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-22833-0
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Foreword
Preface
1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties
3 Encoding in the presence of penalties. The first variational problem- 4 The first asymptotic theorem and relative results
5 Computation of entropy for special cases. Entropy of stochastic processes
6 Information in the presence of noise. The Shannon's amount of information
7 Message transmission in the presence of noise. The second asymptotic theorem and its various formulations
8 Channel capacity. Important particular cases of channels
9 Definition of the value of information
10 The value of Shannon information for the most important Bayesian systems
11 Asymptotical results related to the value of information. The Third asymptotic theorem
12 Information theory and the second law of thermodynamics
Appendix Some matrix (operator) identities
Index
Foreword
Preface
1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties
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3. Network Algorithms, Data Mining, and Applications : NET, Moscow, Russia, May 2018. 1st ed. 2020
edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 315
オンライン: https://doi.org/10.1007/978-3-030-37157-9
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Part I: Network algorithms
Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications
Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming
Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization
Shvydun, S.: Computational Complexity of SRIC and LRIC indices
Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory
Part II: Network Data Mining
Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings
Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E: Collaborator Recommender System based on Co-authorship Network Analysis
Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network
Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia
Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network
Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks
Part III: Network Applications
Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs
Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic)
Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy
Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks
Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia)
Part I: Network algorithms
Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications
Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming
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4. Algorithm Portfolios : Advances, Applications, and Challenges. 1st ed. 2021
by Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Optimization ;
オンライン: https://doi.org/10.1007/978-3-030-68514-0
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1. Metaheuristic optimization algorithms
2. Algorithm portfolios
3. Selection of constituent algorithms
4. Allocation of computation resources
5. Sequential and parallel models
6. Recent applications
7. Epilogue
References
1. Metaheuristic optimization algorithms
2. Algorithm portfolios
3. Selection of constituent algorithms
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5. Information and Communication Technologies for Agriculture—Theme IV: Actions. 1st ed. 2021
edited by Dionysis D. Bochtis, Simon Pearson, Maria Lampridi, Vasso Marinoudi, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Optimization and Its Applications ; 185
オンライン: https://doi.org/10.1007/978-3-030-84156-0
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Section I: Agriculture digital transformation and sustainability
Towards Sustainable Agriculture: Challenges from the transition to the new digital era (Lampridi)
Sustainability in a Digital Farming Era: A Cyber-Physical Analysis Approach for Drone Applications in Agriculture 4.0 (Tsolakis)
Digital technologies in the context of energy: Focus on the developing world agriculture (Kyriakarakos)
A Circular Precision Farming System towards the optimization of dairy value-chains (Lampridi)
An analysis of safety and health issues in agriculture towards work automation (Benos)
Section IΙ: Agriculture digital transfor-mation around the world
Smart farming as a game-changer for regional-spatial planning (Agostini)
Agriculture in Latin America: recent advances and food demands by 2050 (Soria-Ruiz)
The development opportunities of agri-food farms with digital transformation (Sturiale)
Precision Agriculture’s Economic Benefits in Greece: An Exploratory Statistical Analysis (Falaras)
Section III: Diffusion of agriculture digital transformation
AI-based Chatbot System Integration to a Social Media Platform for Controlling IoT Devices in Smart Agriculture Facilities (Symeonaki)
IT in Education: Developing an online course (S. Zazueta)
Assisting DIY Agricultural Robots towards Their First Real-World Missions (Loukatos)
Evaluation of spray coverage and other spraying characteristics from ground and aerial sprayers (drones - UAVs) used in a high-density planting olive groves (Gertsis)
Predictive model for estimating the impact of technical issues on consumers interaction in agri-logistics websites (P. Sakas)
Section I: Agriculture digital transformation and sustainability
Towards Sustainable Agriculture: Challenges from the transition to the new digital era (Lampridi)
Sustainability in a Digital Farming Era: A Cyber-Physical Analysis Approach for Drone Applications in Agriculture 4.0 (Tsolakis)
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6. Dynamics of Disasters : Impact, Risk, Resilience, and Solutions. 1st ed. 2021
edited by Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos, Arsenios Tsokas
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Optimization and Its Applications ; 169
オンライン: https://doi.org/10.1007/978-3-030-64973-9
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Preface
DEA for the Assessment of Regions Ability to Cope with Disasters (F. Aleskerov, S. Demin)
Perishable Food Supply Chain Networks with Labor in the Covid-19 Pandemic (A. Nagurney)
Capacitated Human Migration Networks and Subsidization (A. Nagurney, P. Daniele, G. Cappello)
Drone Routing for Post-disaster Damage Assessment (B. Adsanver, E. Coban, B. Balcik)
A simulation model for the Analysis of the consequences of extreme weather conditions to the traffic status of the city of Thessaloniki, Greece (G. Tsaples, J.M.S. Grau, G. Aifadopoulou, P. Tzenos)
The Crisis Classification component to strengthen the early warning, risk assessment and decision support in extreme climate events
(G. Antzoulatos, A. Karakostas, S. Vrochidis, I. Kompatsiaris)
Toward Decentralized Decision Making for Interdependent Infrastructure Network Resilience (B. Cilalia, N. Ghorbani-Renania, K. Barkera, A.D. Gonzáleza)
Natural disasters and their impact on business units: The Greek case (J.A. Mpekiaris, G.D. Tsiotras)
Land Property Data Logging on Blockchain Ledger (S. Papangelou, Z.A. Charalampidis)
A General Framework and Control Theoretic Approach for Adaptive Interactive Learning Environments (A. Streicher, R. Schonbein, S.W. Pickl)
Disaster Preparedness at the Municipality Level: A Scenario-Based Multi-stage Measurement Methodology (M. Ghazanfari, M. Hakimifar, T. Wakolbinger, F. Toyasaki)
Wavelets in multiscale time series analysis: an application to seismic data? (S. Corsaro, P. L. De Angelis, U. Fiore, Z. Marino, F. Perla, M. Pietroluongo)
Effectiveness of investments in prevention of geological disasters? (U. Fiore, Z. Marino, F. Perla, M. Pietroluongo, S. Scognamiglio, P. Zanetti)
Universal Maximum Flow with Intermediate Storage for Evacuation Planning (U. Pyakurel, S. Dempe)
Development of Flood Disaster Prevention Simulation Smartphone Application Using Gamification (Y. Matsuno, F. Fukanuma, S. Tsuruoka)
Cyber Crises and Disaster Preparation in Austria: A Survey of Research Projects (B. Garn, K. Kieseberg, D. Schreiber, D.E. Simos)
Preface
DEA for the Assessment of Regions Ability to Cope with Disasters (F. Aleskerov, S. Demin)
Perishable Food Supply Chain Networks with Labor in the Covid-19 Pandemic (A. Nagurney)
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7. Black Box Optimization, Machine Learning, and No-Free Lunch Theorems. 1st ed. 2021
edited by Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Optimization and Its Applications ; 170
オンライン: https://doi.org/10.1007/978-3-030-66515-9
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Learning enabled constrained black box optimization (Archetti)
Black-box optimization: Methods and applications (Hasan)
Tuning algorithms for stochastic black-box optimization: State of the art and future perspectives (Bartz-Beielstein)
Quality diversity optimization: A novel branch of stochastic optimization (Chatzilygeroudis)
Multi-objective evolutionary algorithms: Past, present and future (Coello C.A)
Black-box and data driven computation (Du)
Mathematically rigorous global optimization and fuzzy optimization: A brief comparison of paradigms, methods, similarities and differences (Kearfott)
Optimization under Uncertainty Explains Empirical Success of Deep Learning Heuristics (Kreinovich)
Variable neighborhood programming as a tool of machine learning (Mladenovic)
Non-lattice covering and quanitization of high dimensional sets (Zhigljavsky)
Finding effective SAT partitionings via black-box optimization (Semenov)
The No Free Lunch Theorem: What are its main implications for the optimization practice? ( Serafino)
What is important about the No Free Lunch theorems? (Wolpert)
Learning enabled constrained black box optimization (Archetti)
Black-box optimization: Methods and applications (Hasan)
Tuning algorithms for stochastic black-box optimization: State of the art and future perspectives (Bartz-Beielstein)
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8. Nonlinear Analysis and Global Optimization. 1st ed. 2021
edited by Themistocles M. Rassias, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Optimization and Its Applications ; 167
オンライン: https://doi.org/10.1007/978-3-030-61732-5
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Friction models in the framework of set-valued and convex analysis (Goeleven)
A survey on Markov’s theorem on zeros of orthogonal polynomials (Rafaeli)
A review of two network curvature measures (DasGupta)
A frictional dynamic thermal contact problem with normal compliance and damage (Chau)
Mixed Concave-Convex Sub-Superlinear Schrödinger Equation: Survey and Development of Some New Cases (Cattani)
An optimization model for a network of organ transplants with uncertain availability (Daniele)
Algebraic based techniques as decision making tools (Couceiro)
Norm Estimates for the Composite Operators (Ding)
A Variational Inequality based Stochastic Approximation for Inverse Problems in Stochastic Partial Differential Equations (Khan)
An iterative method for a common solution of split generalized equilibrium problems and fixed points of a finite family of nonexpansive mapping (Bnouhachem)
Periodic solutions around the out-of-plane equilibrium points in the restricted three-body problem with radiation and angular velocity variation (Kalantonis)
Optimal lot size with partial backlogging under the occurrence of imperfect quality items (Skouri)
Error analysis through energy minimization and stability properties of exponential integrators (Vlachos)
A degenerate Kirchhoff-type inclusion problem with nonlocal operator (Motreanu)
Competition for Medical Supplies Under Stochastic Demand in the Covid-19 Pandemic: A Generalized Nash Equilibrium Framework (Nagurney)
Relative strongly exponentially convex functions (Aslam Noor)
Properties of exponentially m-convex functions (Aslam Noor)
Natural vs. Artificial Topologies on a Relativistic Spacetime (Papadopoulos)
On the approximation of monotone variational inequalities in Lp spaces with probability measure (Raciti)
Operator Factorization and Solution of Second-Order Nonlinear Difference Equations with Variable Coefficients and Multipoint Constraints (Providas)
An invitation to the study of a uniqueness problem (Ricceri)
Schrödinger equations in nonlinear Optics (Schechter)
Ekeland variational principles in 2-local Branciari metric spaces (Turinici)
Friction models in the framework of set-valued and convex analysis (Goeleven)
A survey on Markov’s theorem on zeros of orthogonal polynomials (Rafaeli)
A review of two network curvature measures (DasGupta)
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9. Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities : Designing for Sustainability. 1st ed. 2022
edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 186
オンライン: https://doi.org/10.1007/978-3-030-84459-2
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Cities as Convergent Autopoietic Systems (V. Dobrev)
Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis)
Unbuildable Cities (Th. Rassia)
Smart Cities as Identities (Tsoniotis)
A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova)
A Novel Data Representation Method for Smart Cities’ Big Data (N. Nagy)
A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li)
Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi)
A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez)
Urban Big Data: City Management and Real Estate Markets (Saiz)
Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)
Cities as Convergent Autopoietic Systems (V. Dobrev)
Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis)
Unbuildable Cities (Th. Rassia)
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10. Information and Communication Technologies for Agriculture—Theme III: Decision. 1st ed. 2022
edited by Dionysis D. Bochtis, Claus Grøn Sørensen, Spyros Fountas, Vasileios Moysiadis, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 184
オンライン: https://doi.org/10.1007/978-3-030-84152-2
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Section I: Value Chain
Agricultural Information Model (Palma)
Development of a framework for implementing IOT-A on the beef cattle value chain (Mostaço)
Food business information systems and software in Western Greece (Mitsos)
Section II: Primary production
From precision agriculture to agriculture 4.0: Integrating ICT in farming (Benos)
On the routing of unmanned aerial vehicles (UAVs) in precision farming sampling missions (Bochtis)
3D scenery construction of agricultural environments for robotics awareness (Tagarakis)
A Weed Control Unmanned Ground Vehicle Prototype for Precision Farming Activities: The Case of Red Rice (Bechtsis)
Decision making and Decision Support System for a successful weed management (Kanatas)
Zephyrus: Grain aeration strategy based on the prediction of temperature and moisture fronts (Lopes)
Decision-Making Applications on Smart Livestock Farming (A. Nääs)
Section III: Environment
Programmable Process Structures of unified elements for model-based planning and operation of complex agri-environmental processes (Varga)
Monitoring and estimation of sugarcane burning in Brazil, using linear mixed models (S. Galvanin)
A Decision Support System for Green Crop Fertilization Planning (Rodias)
Knowledge elicitation and modeling of agroecological management strategies (Martin-Clouaire)
Section I: Value Chain
Agricultural Information Model (Palma)
Development of a framework for implementing IOT-A on the beef cattle value chain (Mostaço)