Conferences  >  Mathematics  >  Optimization Theory, Operational Research

Diagrams is the only conference series that provides a united forum for all areas that are concerned with the study of diagrams and has a multidisciplinary emphasis. DIAGRAMS’24 is the fourteenth conference in the series that started in 2000. The multidisciplinary nature of Diagrams means it encompasses: architecture, art, artificial intelligence, biology, cartography, cognitive science, computer science, education, graphic design, history of science, human-computer interaction, linguistics, logic, mathematics, philosophy, psychology, and software modelling. The conference attracts a large number of researchers from these interrelated fields, positioning Diagrams as the major international event in the area.

The International Centre for Mathematical Sciences (ICMS)

Mathematical representations of complex institutions will enable us to move beyond the limits of tools such as game theory by introducing the composability, abstraction, and modularity of software engineering. With formal representations, scholars can begin to imagine a computationally aided design (CAD) of arbitrarily complex institutions. For example, within recent frameworks like "categorical game theory," a focus of this workshop, researchers from across the social sciences can compose systems of economic games into complex governance institutions. With such advances, computationally inclined economists, sociologists, political scientists, and natural resource scholars gain a common language for representing fundamental challenges in the design of social systems.

Probability and Statistics, Game Theory,    Applied Mathematics (in general)

Université Mouloud Mammeri, Faculté des Sciences

MOAD’2024 aims to establish an outstanding international forum for sharing knowledge and results in the theory, methodology, and application impacts and challenges of decision-making. It provides a platform for researchers and practitioners from academia and industry to meet, exchange ideas, and share cutting-edge developments in the field.

Optimization, Statistics, Probability, Stochastic Processes, Control, Graph Theory, Numerical Analysis, Mathematical Modeling, Applications to Engineering Sciences.

Association of Latin-Iberoamerican Operational Research Societies (ALIO)

The Latin-Iberoamerican Conference on Operations Research (CLAIO) is the conference of the Association of Latin-Iberoamerican Operational Research Societies (ALIO). It has occurred biennially since 1982 in different Latin American cities. The main goals of this conference are to further the exchange of experiences, to establish and deepen ties between researchers and practitioners in the region, and to help young undergraduate and graduate students in their professional development. The Mexican Society of Operations Research will organize the XXII edition of CLAIO, which will take place in Guadalajara, Mexico, from October 28 to November 1, 2024. The conference purposefully coincides with the Mexican "Dead festivities". Moreover, Guadalajara is the region of Tequila houses.

Association of Latin-Iberoamerican Operational Research Societies (ALIO)

The primary objective of AFROS 2024 is to provide a platform for the presentation and discussion of recent developments, applications, and emerging trends in OR/MS within the African context and beyond. We aim to foster knowledge exchange and collaboration among researchers, practitioners, and industry professionals, promoting the advancement of OR/MS in diverse sectors.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Eurandom

The conference will bring together researchers with backgrounds in operations management, statistics, stochastic modelling, data science and control to discuss contemporary queueing-related challenges. The increasing availability of empirical data in the operation of large computer networks and in the management of human service systems is creating new opportunities for study in queueing theory. The objective of the workshop is to highlight and discuss future directions in data-driven queueing that arise in modelling, monitoring and controlling queues, and in dealing with parameter uncertainty, when there is access to operational data.

Akal University

Phone: [+919050300059];     Email: icepam@auts.ac.in

Combinatorics, Special Functions, Graph Theory, Algebra and Its Applications, Number Theory, Topology, Analysis, Summability and Approximation Theory, Operations Research Theoretical and Numerical Aspects of ODEs/PDE/Fractional DEs, Differential Geometry and Applications, Coding Theory, Cryptography and Information Theory

Algebra,    Number Theory, Arithmetic

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Many discrete optimization problems can be modelled as graph problems, leading to a long list of well-studied problems, which include graph partitioning, covering and packing problems, network design problems, width parameter problems, and so on. Most of these graph problems are computationally hard. However, this situation may change if we require the input to belong to some special graph class. This leads to two fundamental questions, which lie at the heart of our Dagstuhl Seminar: for which classes of graphs can a computationally hard graph problem be solved in polynomial time, and for which classes of graphs does the problem remain hard? In our seminar, we aim to discover new insights that lead to results for a whole range of problems rather than just for a single problem alone.

Graph Algorithms, Graph Classes, Graph Containment, Relations, Parameterized Complexity, Width Parameters

Institute of Mathematics & its Applications (IMA)

The conference will be held at the beautiful and easily accessible Conference Centre Aston in Birmingham and will showcase activities from across all areas of OR. We welcome contributions that are empirically motivated and with a focus on application, as well as those that are theoretically driven. The conference will host plenaries from leading international experts, sessions of themed talks, as well as poster sessions, and will provide plenty of opportunities for networking.

Kathmandu University, Nepal

We are delighted to announce the International Conference on Non-linear Analysis and Optimization (ICAN-OPT_NEPAL_2025), from May 08 to 10, 2025, at Kathmandu University, Dhulikhel, Nepal including a Workshop on Fixed Point Theory and Applications. This event is organized by Kathmandu University in collaboration with Tribhuvan University, Nepal Sanskrit University, and Nepal Mathematical Society.

This conference will cover diverse topics like Non-linear Analysis, Fixed Point Theory, Operator Theory, Complex Analysis, Harmonic Analysis, Wavelet Analysis, Special Functions, Functional Analysis, Fourier Analysis, Numerical Analysis, Convex Analysis, Optimization Theory, Queueing Theory, Finance & Economics, Differential Equations, Mathematical Biology, Mathematical Modelling, Data Science, and Machine Learning.

CIRM – Centre International de Rencontres Mathématiques

Ergodic optimization is a general framework in dynamical system where an observable is understood through its minimum over the set of invariant probability measures. A measure that attained that minimum is called minimizing. The general question is to understand the set of minimizing measures and more generally the set of minimizing orbits. One possible approach is to see minimizing measures as ground states, that is as limits of Gibbs measures at zero temperature. Gibbs measures are eigensolutions of the Ruelle operator or the transfer operator. We intend to study such questions in the framework of skew products of dynamical systems where the base dynamics is random (ergodic and invertible) and the fiber dynamics is a composition of maps indexed by a random environment. The problem of optimizing an observable in a random environment is new and has not yet been studied.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Neural Networks and Artificial Intelligence, Machine Learning