4th Int. Conf. on Control, Artificial Intelligence, Robotics & Optimization

Ierapetra Beach, Crete, Greece, May 7-9, 2024
(Ostria Hotel: https://www.ostriahotel.gr
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Special Sessions

Honorarium, Free Publications ...

ICCAIRO is a real (face to face) conference. The proceedings of the 3rd Int. Conf. on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO 2023) will be published in the IEEE CPS Proceedings (published by Conference Publishing Services (CPS) ) as well as in the several ISI / Scopus indexed Journals.

The proceedings of the 1st and 2nd Int. Conf. on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO 2018 and 2017) have been published by CPS https://www.computer.org/conferences/cps

and have been indexed ISI (Web of Science}, SCOPUS, IET, EI Compendex, DBLP, ACM, Scholar Google, as well as in the Database IEEEXplore.

Accepted Special Sessions

to be announced soon

Our Publisher

The Proceedings of ICCAIRO 2023 will be published by IEEE CPS
In 2017, the Proceedings of ICCAIRO were published by CPS:

In 2018, the Proceedings of ICCAIRO were published by CPS: https://ieeexplore.ieee.org/xpl/conhome/8684744/proceeding
In 2019, ICCAIRO was not organized, while in 2020-2022 was postponed due to pandemic.

The previous ICCAIRO Proceedings have been indexed in a ISI (Web of Science}, SCOPUS, IET, EI Complendex, DBLP, ACM, Scholar Google, as well as in the Data Base IEEEXplore. We will send also the Proceedings of ICCAIRO 2023 to ISI (Web of Science}, SCOPUS, IET, EI Complendex, DBLP, ACM, Scholar Google.

Proceedings of ICCAIRO 2023 will be send to the Indexes:

ISI Web of Science, EI Compendex, Scopus etc


Become an ICCAIRO 2023 Invited speaker?

Contact us by email to: iccairo.conference@gmail.com, info@iccairo.com

Program Committee

Organizing Committee:
Prof. Klimis Ntalianis, University of West Attica, Egaleo, Athens, Greece (General Chair)
Prof. Gen Qi Xu, Department of Mathematics, Tianjin University, Tianjin, China (General Chair)
Prof. Yuriy S. Shmaliy, IEEE Fellow, Universidad de Guanajuato, Mexico (Honorary Chair)
Prof. George Vachtsevanos, Georgia Institute of Technology, Atlanta, Georgia, USA (General Co-Chair)
Prof. Pierre Borne, ex IEEE France Section Chair, IEEE Fellow, Ec Centr de Lille, France (Program Chair)
Prof. Imre Rudas, IEEE Life Fellow, Obuda University, Budapest, Hungary (Program Co-Chair)
Prof. Nikos Mastorakis, Technical University of Sofia, Sofia, Bulgaria (Program Co-Chair)

Technical Committee:
Prof. Ryzard S. Choras, University of Technology & Life Sciences, Bydgoszcz, Poland
Prof. Leon Chua, IEEE Fellow, University of Berkeley, USA
Prof. Aggelos Katsaggelos, IEEE Fellow, Northwestern University, USA
Prof. Panos Pardalos, IEEE Fellow, University of Florida, USA
Prof. Narsingh Deo, IEEE Fellow, University of Central Florida, Orlando, FL, USA
Prof. Wasfy B Mikhael, IEEE Fellow, University of Central Florida Orlando, USA
Prof. Georgios B. Giannakis, IEEE Fellow, University of Minnesota, USA
Prof. Jim Austin, Computer Science, University of York, York, United Kingdom
Prof. Bruno Apolloni, University of Milan, Milan, Italy
Prof. Paolo Gastaldo, University of Genova, Genova, Italy
Prof. Alessandro Di Nuovo, Plymouth University, Plymouth, United Kingdom
Prof. Dominic Palmer-Brown, London Metropolitan University, London, United Kingdom
Prof. Yi Ming Zou, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
Prof. Sebastian Pannasch, Technische Universitaet Dresden, Dresden, Germany
Prof. Yutaka Maeda, Kansai University, Japan
Prof. Andreas Koenig, Technische Universitaet Kaiserslautern, D-67663 Kaiserslautern, Germany
Prof. Jiann-Ming Wu, National Dong Hwa University, Hualien, Taiwan
Prof. Friedhelm Schwenker, Universitat Ulm, 89069 Ulm, Germany
Prof. Juan Ignacio Arribas, Universidad de Valladolid, Valladolid, Spain
Prof. Tienfuan Kerh, National Pingtung University of Science and Technology, Pingtung, Taiwan
Prof. Francesco Camastra, University of Naples - Parthenope, Naples, Italy
Prof. Kyong Joo Oh, Yonsei University, Korea
Prof. Francesco Marcelloni, University of Pisa, Pisa, Italy
Prof. Giorgio Valentini, University of Milan (Milano), Italy
Prof. Zhiyuan Luo, Royal Holloway, University of London, Egham, Surrey, United Kingdom
Prof. Alessio Micheli, Universita di Pisa, Pisa, Italy
Prof. Ping-Feng Pai, National Chi Nan University, Puli, Nantou, Taiwan
Prof. Manwai Mak, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Prof. Alexander Gegov, University of Portsmouth, Portsmouth, United Kingdom
Prof. Anastasios Tefas, Aristotle University of Thessaloniki, Thessaloniki, Greece
Prof. Alessandro Rozza, University of Naples - Parthenope, Naples, Italy
Prof. Dietrich Klakow, Saarland University, Saarbrucken, Germany
Prof. George Mengov, Sofia University St. Kliment Ohridski, Sofia, Bulgaria

Confirmed Reviewers

Plenary Speakers

Plenary Speech 1:
Some Applications of Fuzzy Logic in Extracting Information from a Set of Data


Prof. Amaury A. Caballero
Department of Electrical and Computer Engineering
Florida International University
10555 W. Flagler Street
Miami, Florida, USA

Abstract: When determining the degree of coincidence of any multi-feature obtained information, received in the form of a fuzzy vector, to a pre-established known pattern, two general steps should be followed. The first step is to eliminate the features that have little or no effect to the final results and to maintain only those that will influence the pattern recognition. This step could be defined as the classification process and is imperative for the simplification of the problem. One example of classification that could considerably reduce system costs is when using sensors distributed along an industrial process to manage information at a central location. Several methods could be used for classification, such as statistical methods, rough sets, fuzzy logic or information theory. The second step is to find out the correlation between the received fuzzy vector and the vector defining the known pattern using the previously selected features. For this part, the use of fuzzy logic is extremely convenient. The present work analyzes some of the methods used for classification and pattern recognition based on concrete and practical examples.

Biography: Amaury A. Caballero obtained his Bachelor Degree in Electrical Engineering from the University of Havana, Cuba, earned his Ph.D. in Technical Cybernetics from the Energy Institute of Moscow, Russia, and his Professional Engineer License from the state of Florida, USA. He taught and conducted research at the Higher Polytechnic Institute of Havana, where he became a Professor and directed research in the areas of Automatic Control and Robotics. He was also a member of the Higher Scientific Council of the Cuban Academy of Sciences and received awards for his work from the Cuban Ministry of Higher Education and the Technical University of Brno, in Czech Republic, where he also participated in a graduate study and research of robotics in conjunction with other faculty members. He has been also given presentations about fuzzy logic at the "Universidad de Pamplona" in Colombia, the "Universidad Catolica de Santa Maria", and the "Universidad Autonoma" in Peru, the "Universidad Tecnologica Centroamericana" in Honduras, and the "Universidad Autonoma Estatal del Estado de Hidalgo", in Mexico. Dr. Caballero has published two books and obtained five certificates of invention in the area of automatic control. He also has published research reports, journals papers and proceedings in scientific conferences, totaling over 100 publications. Presently, he is a Teaching Professor at Florida International University, where he has developed two courses, and taught nine electrical engineering undergraduate courses. He has also taught graduate courses in fuzzy logic at Florida International University and the "Universidad Autonoma Estatal del Estado de Hidalgo", in Mexico. Among other activities, he has conducted in-depth research in the areas of automation applied to construction management, and in the use of rough sets and fuzzy logic for object discrimination in databases.

Plenary Speech 2:
Statistical Time Series Methods for Vibration Based Robust Structural Health Monitoring (SHM) Under Uncertainty


Prof. S.D. Fassois
Stochastic Mechanical Systems & Automation (SMSA) Laboratory, Department of Mechanical &
Aeronautical Engineering, University of Patras, GR 26504 Patras, Greece

Abstract: The problem of vibration based robust Structural Health Monitoring (SHM) is important in mechanical, aerospace, and civil engineering in order to ensure infrastructure and human safety. In this study the problem is tackled via random vibration response signals obtained under normal operating conditions and uncertainty using Statistical Time Series type methods. Such methods are important as they do not require the interruption of the structure’s normal operation and are capable of offering high performance and automation. The emphasis of the study is on Data-Based / Machine Learning methods and Robustness to varying Operating Conditions (OCs) and Uncertainty; with the latter constituting a widely acknowledged current technology barrier. The reason for this is that varying OCs and uncertainty affect the structural dynamics to an extent that is often as significant as that caused by incipient damage, thus rendering damage diagnosis highly challenging. The main ideas, concepts, and principles of Statistical Time Series methods, as combined with Machine Learning algorithms, for overcoming this technology barrier are presented. The prime families of robust methods and algorithms are then schematized, and their achievable performance is outlined. Case studies referring to aerospace structures are then presented, while further advances pertaining to damage size estimation and damage characterization are also discussed. The results are presented in terms of Receiver Operating Characteristic (ROC) curves indicating the Probability of Detection versus Probability of False Alarm, as well as Confusion Matrices. A summary of the main conclusions of the study and an outlook are also included.

Biography: Professor S.D. Fassois (Diploma 1982 NTUA, M.Sc. 1984 & Ph.D. 1986 University of Wisconsin-Madison USA) is the Director of the Stochastic Mechanical Systems & Automation Laboratory, having also served on the faculty of the University of Michigan – Ann Arbor, USA, 1986-1992. His research interests are on stochastic mechanical and aero systems, data based modeling, system diagnosis-prediction-control, Structural Health Monitoring (SHM), signal analysis, Machine Learning (ML), with applications on structures, vehicles, aircraft and industrial systems. He has been honored by international awards and distinctions, has authored chapters in international technical encyclopedias, and organized/taught various Short Courses. He has authored over 270 articles (several invited) in international technical journals, books, and Conference Proceedings. His research has been supported by national and international bodies, including the European Commission. He has been on the Editorial Board of prestigious technical journals, has organized 4 Special Thematic Issues, and participates in the Scientific Committee for various international conferences.
Google Scholar: https://scholar.google.gr
Scopus: https://www.scopus.com


Format (word), Format (PDF), Format (Latex)

The main objective of the Conference is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Control, Soft Computing / Artificial Intelligence, Robotics and Applied Optimization as well as their applications in various sciences and in industry. Only full papers will be promoted to reviewers for thorough peer review.
Network Theory and Applications, Filter Theory, Nanostructures and nanotechnologies, Molecular Electronics, Molecular Computing, DNA Computing, Circuits and Networks inspired from Biology, Metabolic Networks, Microelectronics, Microcircuits, Analog, Digital, Mixed-Mode Circuits, Electronics: Components, Devices, Systems, Silicon Devices: Technology, Modeling, Reliability, Optoelectronic Devices, Laser and Optical Systems, Thin Film Technologies, Very Large Scale Integration Systems (VLSI), Hardware/Software Codesign,Very Large Scale Integration Systems (VLSI), Digital Filters, High Level Synthesis, Amplifiers, Nonlinear Circuits, Sensors, Physical Design, Time-Frequency and Wavelet Applications, Modelling and Simulation, CAD Tools, Circuits and Electronics for Data Conversion and S-D Modulation, Capacitor/Current Technoques, Prototype Devices and Measurement, Circuits and Systems for Control and Robotics, Electron Devices for Power Technology, High Voltages and Electric Machines, Device Physics, Physical Design, High-Level Synthesis and Testing, Non-Linear Circuits, Formal Verification, Semiconductors, Superconductivity Circuits, Computer-Aided Design, Instrumentation, Instrument-Computer Interface, Military Electronics, Electronics for Space exploration, Consumer Electronics, Circuits in Power Technology, Electron Devices for Video Technology, Circuits for Antennas Technology, Electron Devices and Systems for Radar and Sonar Systems, Circuit Models, Electrical and Electronic Measurement, Circuits for Industrial Applications, Circuit models for Electromagnetic Fields, Electronics for Signal Processing and other Applications, Neural Networks, Numerical Analysis and Circuits, Logic Synthesis, Fuzzy Logic and Circuits Design, Circuit Implementation for Fuzzy Systems, Multidimensional Circuits and Systems, Dynamical systems, Differential Equations:, Ordinary Differential Equations, Functional Differential Equations, Partial Differential Equations, Nonlinear analysis, Stability, Nonlinear oscillations, Bifurcations, Singular perturbations, Fractals, Ergodic theory, Image compression, Scientific visualization, Stability of matter, Schroedinger operators, Dynamics of numerics, Numerical analysis and lattice dynamical systems, Non-linear Structures, Dynamics, Function Soft condensed matter, Fluid Dynamics, Granular Materials, Colloids, Theory and Simulation of Turbulent Flows, Nonlinear phenomena, Nonlinear excitations in materials, Reaction-Diffusion Systems, Nonlinear Optics and Spectroscopy, Hamiltonian and Lagrangian dynamics, Hyperbolic dynamics, Topological and smooth dynamics, Topological Methods in Surface Dynamics, Random dynamical systems, Visualization of Complex Dynamical Systems, Applications in Biology, Applications in Physics, Applications in Chemistry, Applications in Astronomy, Applications in Engineering, Mathematical Theory of Control, Stability, Observability, Controlability, Factorizability, Reachability, Linear Control, Non-Linear Control, Optimal Control, Robust Control, Computational Intelligence, Neural Control, Fuzzy Control, Genetic Control, Hybrid (Neural-Fuzzy-Evolutionary) Methodologies, Intelligent Control, Stochastic Control, Discrete Control, Hierarchical Control, Large Scale Systems, Adaptive Control, Predictive Control, Process Control, H-infinity Control, Multivariable Control, Multivariable Systems, Multidimensional Systems, Discrete Event Systems, Re-configurable Systems, Real-Time Control, Industrial Control, Control for Electric Machines, Control for Power Systems, Fault Detection, Simulation, Optimization, Identification, Estimation, Kalman Filtering, Robotics, Robotic Networks, Mechatronics, Artificial Intelligence, Circuits, Devices and Systems for Automation and Control, Electronics for Control, Electrical and Electronic Measurement, Signal Processing for Control, Human-Machine Systems and Cybernetics, Modeling and Simulation, Computer Networks for Control, Internet Control, Microprocessors, Computer Architecture for Control, Software tools for Control, CAD/CAM systems, Applications in Biology, Applications in Physics, Applications in Chemistry, Applications in Astronomy, Applications in Civil Engineering, Applications in Chemical Engineering, Applications in Naval and Marine Engineering, Applications in Aerospace Engineering, Applications in Agricultural Engineering, Applications in Structures, Applications in Transportation Engineering, Other Applications and Special Topics, Filter design and structures, Fast algorithms, Adaptive filters, Nonlinear Signals and Systems, Multirate filtering and filter banks, Signal reconstruction, Time-frequency analysis, Spectral estimation, Higher order spectrum analysis, Parameter estimation, Detection, Array signal processing, Statistical signal analysis, Signal and system modeling, Cyclostationary signal analysis, Speech production and perception, Speech analysis
Pervasive Computing, Radial basis function networks, Feedforward neural networks, Autonomous Vehicles, Control, Robotics And Mechatronics, Generative Adversarial Networks, Computational Intelligence, Robot Learning, Decision And Expert Systems, Robotics And Robots, Machine Ethics, Support vector machines, Software agents, Minimax techniques, Measurement Uncertainty, Semantic Web, Synapses, Prediction theory, Data Mining, Independent component analysis, Posthuman, Expert Systems, Neurocontrollers, Others
* NEURAL NETWORKS Mathematical Foundation of Neural Networks (NN), Neural Networks Theory & Models, Neuronal Automata, Learning Algorithms, Real-life Applications, Neural Networks and Neuroscience, Brain Machine Interfaces, Neurodynamics, Cellular Neural Networks, Complex Systems, Hybrid Systems, Implementation of Neural Networks, Self-Orgnization of NN, Machine Learning, Fuzzy Systems and Neural Networks, Evolutionary Algorithms and Neural Networks, Bionspired Computations and Neural Networks, Implementation of Neural Networks with Hardware and Embedded Systems, Neural Control and Robotics, Cognitive Models, Computational Neuroscience, Neurobiology and Neurosciences, Prediction, Estimation and Statistics
* FUZZY SYSTEMS Mathematical foundation of Fuzzy Logic, Fuzzy Logic, Fuzzy Sets, Fuzzy Algebra, Fuzzy Analysis, Fuzzy Geometry, Fuzzy Differential Equation, Interval Analysis, Approximate Reasoning, Computing With Words, Fuzzy Optimization, Fuzzy Algorithms, Fuzziness and Probabilities, Fuzziness and Statistics, Fuzzy Control, Fuzzy Languages, Fuzzy Automata, Fuzzy Differential Equations, Fuzzy Discrete Event Systems, Fuzzy Expert Systems, Fuzzy Forecasting, Fuzzy Functions, Fuzzy Genetic Algorithms, Fuzzy Geometry, Fuzzy Granular Computing, Fuzzy Hardware and Architectures, Fuzzy Human Computer Interaction, Fuzzy Information Theory, Fuzzy Expert systems, Fuzzy Operational Research, Fuzzy Data Mining, Forecasting and information retrieval, Fuzzy Internet Computing, Fuzzy Discrete Event Systems, Neural-Fuzzy Systems, Fuzzy Genetic Algorithms, Takagi-Sugeno Methodologies, Universal Approximators' Theory, Hybrid and Fuzzy Knowledge Based Networks, Software Engineering for Fuzzy Systems, Prediction, Estimation and Statistics, Simulation, Time series analysis, Non-linear Systems' study via Takagi-Sugeno Methodologies and other Fuzzy Techniques, Complex Systems' and Very Large Scale Systems' study, Fuzzy Systems in Robotics and Mechatronics, Fuzzy Systems applications in Signal Processing, Fuzzy Systems applications in Patern Recognition, Fuzzy Systems applications in Communications, Fuzzy Systems applications in Networking, Fuzzy Systems applications in Power Systems, Fuzzy Systems applications in Production Systems, Biological, Environmental, Space Science, Health Science, Financial Science Applications of Fuzzy Systems, Fuzzy Systems applications in Mechanical, Chemical, Civil, Naval, Agricultural, Environmental Engineering
* EVOLUTIONARY COMPUTING (EC) Mathematical foundation of Genetic Algorithms and Evolutionary Computing, Evolution Strategies, Evolutionary Programming, Probabilistic and Statistical problems in EC, Metaheuristic optimization algorithms Learning classifier systems, Co evolution and collective behavior, Multiobjective evolutionary algorithms, Evolvable hardware, Fuzzy Evolutionary Methods, Neural Networks' training via GA Neuro-Fuzzy-Evolutionary Systems, Self-organizing maps, Growing neural gas, Differential evolution, Artificial life, Digital organisms, Cultural algorithms. Harmony search algorithm, Artificial immune systems, Learnable Evolution Model. Ant colonies, Immune systems, Molecular computing, DNA computing, Particle swarm and differential evolution, Clustering, Hybrid and Knowledge Based Networks' study via EC. Software based of EC concepts, EC in Neurobiology and neurosciences Prediction, Estimation and Statistics via EC, Simulation with EC,EC (Evolutionary Computing) for Function approximation, EC for Regression analysis, EC for Time series prediction and modelling EC for Classification, EC for Pattern and sequence recognition, EC for Novelty detection, EC for Sequential decision making, EC for Data processing, EC for Filtering, EC for clustering, EC for blind signal separation, EC for Compression, EC software, EC and Chaos, Fuzzy-Neurodynamics and Attractor Networks with EC, Supervised learning with EC, Unsupervised learning with EC, Reinforcement learning with EC, Neural Networks training with EC, Evolutionary Computing with EC, Modern Learning algorithms with EC, Time series analysis with EC Non-linear Systems' study via EC, Complex Systems' and Very Large Scale Systems' study via EC, EC Control (Genetic Control), EC in Robotics and Mechatronics, EC applications in Signal Processing, EC applications in Pattern Recognition, EC applications in Communications, EC applications in Networking, EC applications in Power Systems, EC applications in Production Systems, Biological, Environmental, Space Science, Health Science, Financial Science Applications of EC, EC applications in Mechanical, Chemical, Civil, Naval, Agricultural Engineering, Other Topics and Other Applications
Mechatronics, Mechatronics systems, Machine vision, Automation and robotics, Servo-mechanics, Sensing and control systems, Automotive engineering, automotive equipment in the design of subsystems such as anti-lock braking systems, Computer-machine controls, such as computer driven machines like IE CNC milling machines, Expert systems, Industrial goods, Consumer products, Medical Mechatronics, medical imaging systems, Structural dynamic systems, Transportation and vehicular systems, Mechatronics as the new language of the automobile, Diagnostic, reliability, and control system techniques, Computer aided and integrated manufacturing systems, Computer-aided design, Engineering and manufacturing systems, Packaging, Microcontrollers / PLCs, Mobile apps Mechanical engineering and materials science, Systems and control engineering, Optomechanics (optical engineering), Robotics, Actuation, Sensing, Motion and manipulation, Locomotion, Environmental interaction and navigation of Robots, Human-robot interaction, Control of Robots, Autonomy levels, Robotics research, Dynamics and kinematics, Education and training of Robots, Kinematics, dynamics, control, and simulation of robots and intelligent machines and systems, design of robotic mechanisms, man-machine interface and integration, robotics-related computer hardware, software, and architectures, linkage to computer-aided engineering, robotics in manufacturing and flexible automation, robotics and automation in less structured environments, vision and other non-contact sensory systems, and tactile and other contact sensory technology, Structural analysis, Structural Mechanics, Applied Mechanics, materials science and applied mathematics to compute a structure's deformations, internal forces, stresses, support reactions, accelerations, and stability. Method of Joints, Method of Sections, Elasticity methods, Methods using numerical approximation, Finite Elements, Finite Differences, Boundary Elements, Integral Equations, Optimization for Structural analysis. Others...
Convex Optimization, Approximation of Large-scale Dynamical Systems, Large Scale Systems, Identification, Linear Algebra in Simulation and Mathematical Biology, Linear Algebra Information Retrieval and Management, Totally Nonnegative Matrices, Special Topics and Applications. Numerical Methods for Solving Equations, Polynomial Factorization, Numerical Methods for Ordinary and Partial Differential Equations, Numerical Methods for Integral Equations, Numerical Methods for Integral-Differential Equations, Numerical Methods for Algebro-Differential Equations, Numerical Methods for Singular Equations, Numerical Linear Algebra, Numerical Behaviour of Optimization Algorithms, The Art of Computer Programming of Numerical Methods, Parallel Computing, Distributed Computing, Supercomputing, Finite Elements, Mathematical Aspects of Scientific Computing, Error Analysis, Stability Problems, Convergence Problems, High Complexity Numerical Methods, Numerical Mathematics for Non-linear Systems Study, Numerical Computation in Dynamical Systems and Chaos, Simulation, Numerical Analysis problems in Science and Engineering, Special Topics and Applications. Ordinary differential equations, Partial differential equations, Stochastic differential equations, Topological dynamics, Integral equations, functional differential equations, Differential Equations in Sobolev Spaces, Variational methods in ODEs and in PDEs, Existence, Multiplicity results for solutions to ODEs and PDEs, Nonlinear Systems, Chaos, Morse theory, Manifolds, Bifurcation and Degree theory, Singular perturbation problems, Qualitative theory (stability, periodicity, boundedness, etc.), Difference Equations, Numerical Methods for ODEs and PDEs, Diff.Equations in Science and Engineering, Special Topics and Applications. Theoretical Probability Theory, Applied Probability Theory, Stochastic Processes, Mathematical Statistics, Applied Statistics, Game Theory, Prediction Theory, Estimation Theory, Identification, Simulation, Mathematical Programming, Statistical Techniques, Continuous and Discrete optimization, Stochastic models, Multi-person decisions, New Theories in Operational Research, Queueing Theory, Reliability Theory, Routing Theory, Measurement Theory, Marketing and Production Organization, Transportation Systems, Telecommunication theory, Applications in Computer engineering, Epidemiology, Financial mathematics, Information systems and traffic management, Inventory theory, Scheduling, Management Science, Applications in Science and Engineering,Related Topics. Optimization Theory, Linear Programming, Quadratic Programming, Convex Programming, Nonlinear Programming, Complementarity problems, Stochastic Programming, Combinatorial Programming, Integer Programming, Convex, Nonsmooth and Variational analysis, Multiobjective programming, Game Theory, Algorithms for parallel architectures, Global Optimization, Neural Networks for Optimization, Evolutionary Computing, Genetic Algorithms, Optimal Control, Stochastic Control, Variational Principles and Applications, Software Development for Optimization, Heuristic Algorithms for Optimization, Tabu Methods, Simulated Annealing, Computational Analysis of Optimization Algorithms. Algorithms Theory: New Problems - New Theories, Computational Complexity, Convergence, Error Analysis, Data structures, Algorithms on graphs, Arithmetic algorithms, Combinatorial searches and objects, Discrete optimization, Geometric algorithms, Methods of algorithmic analysis, New algorithms and data structures, New analyses or comparisons of known algorithms, Semantics, Predictive Semantics, Randomized Algorithms, Equational logic programming, Functional Languages, Parallel and Distributed Computation, Modern Problems in Discrete mathematics, Combinatorics and Graph Theory, Functional systems theory, Coding, Cryptology, Object-Oriented Programming, Computerised Signal Processing, Computer Graphics, Computational Geometry, Industrial Systems, Real Time Systems, Multimedia, Probability problems of discrete mathematics, Discrete structures, Extremal problems, Posets, Enumeration problems, Network algorithms, Combinatorial Optimization and Mathematical Programming, Network optimization, Integer programming, Approximation algorithms, Randomized algorithms, Others

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Ostria Hotel, Ierapetra, Crete

Katharades 72200, Ierapetra, Crete, Greece

Email: events@ostriahotel.gr, ostriahotel@ostriahotel.gr
+30 2842 0 25711
* For Publication in the Conference Proceedings by IEEE and indexed in Web of Science (ISI, SCIE), Scopus, EI Compendex, IEEEXplore etc (after peer review), with 2 Coffee-breaks per day: 620 EUR

* For Publication in Journals indexed in Scopus : 620 EUR (after peer review). Contact us to inform you about the Journal

Deadline for submission due: January 31, 2024
Notification of acceptance letter: February 29, 2024

Contact us: iccairo.conference@gmail.com (Secretariat) or info@iccairo.com (Chair),

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Contact us: iccairo.conference@gmail.com (Secretariat) or info@iccairo.com (Chair),