Conferences  >  Mathematics  >  Optimization Theory, Operational Research

ICMS - International Centre for Mathematical Sciences

The theme of this meeting, which links academia, industry and government, is historical analysis (HA), the sub-discipline of operational research which conducts quantitative studies of historical warfare and other operations to learn lessons for contemporary defence and security. In addition to attendees from industry and government already familiar with the area, the meeting aims to attract academic operational researchers, mathematicians and statisticians with a strong interest in history, and historians sympathetic to quantitative approaches. Talks and discussions will be accessible to all, with the aim of the meeting being to seed innovative technique and analysis both directly in HA and across the traditional academic divide between history and the mathematical sciences.

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

Calculus, Differential Equations and Integration,    Complex Systems, Chaos and Self-Organisation

COIA-2024 will offer an excellent forum for discussion and exchange of ideas for researchers and practitioners in the field of control and optimization from all over the world and with its respected speakers, leading dedicated scientific journals and prestigious sponsor organizations will continue the success of the previous conferences.

The International Conference on Optimization and Decision Science is organized by AIRO, the Italian Operations Research Society

The Conference theme is open in the fields of operations research, optimization, problem solving and decision making, and their applications. A special focus will be on the theme “Operations Research: closing the gap between research and practice”.

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.

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.

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

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