Accepted Streams
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Continuous Optimization
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Convex Optimization |
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Global Optimization |
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Mathematical Programming |
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Nonlinear Programming |
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Semi-Infinite Optimization |
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Nonsmooth Optimization |
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Vector and Set-Valued Optimization |
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Variational Inequalities, Complementarity Problems and Bilevel Programming |
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Ill-posed Variational Problems - Theory, Methods and Applications |
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Nonconvex Programming: Local and Global Approaches |
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Linear and Conic Programming |
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Control Theory & System Dynamics
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Optimal Control |
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Dynamic Programming |
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SD Modeling in Sustainable Development |
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Dynamical Systems and Mathematical Modelling in OR |
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Discrete Optimal Control |
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Data Mining Knowledge Discovery and Artificial Intelligence
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Computational Statistics |
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Machine Learning and Its Applications |
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Applications in Business Intelligence and Knowledge Discovery |
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Knowledge Discovery and Data Mining |
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Optimization and Data Mining |
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Data Mining and Decision Making |
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Agent-Based Modeling |
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DEA and Performance Measurement
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DEA and Performance Measurement |
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Decision Analysis, Decision Support Systems
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Portfolio Decision Analysis |
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The Decision Deck Project |
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Algorithmic Decision Theory |
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Simulation Based Decision Support |
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Discrete Optimization, Geometry & Graphs
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Combinatorial Optimization |
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Discrete and Global Optimization |
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Geometric Clustering |
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Graphs and Networks |
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Boolean Programming |
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Graph Searching and Guarding |
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Emerging Applications of OR
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Mixed-Integer Non Linear Programming |
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OR in Military |
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Emerging Applications of OR |
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Energy / Environment and Climate
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Energy, Environment and Climate |
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Financial Modeling & Risk Management
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Financial Optimization |
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Numerical Methods in Finance |
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Financial Modeling |
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Long Term Financial Decisions |
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Life Insurance, Risk Management & OR |
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Financial Mathematics and OR |
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Operational Research and Quantitative Models in Banking |
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Stochastic Valuation for Financial Markets |
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Actuarial Sciences and Stochastic Calculus |
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Data Mining in the Financial Sector |
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Simulation Methods in Finance |
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Fuzzy Systems and Soft Computing
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Fuzzy Systems, Neural Networks & Artificial Intelligence |
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Game Theory, Mathematical Economics
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Experimental Economics and Game Theory? |
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Dynamical Systems and Game Theory |
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Cooperative Game Theory |
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Iterative Methods for Economic Models |
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Location, Logistics, Transportation, Traffic
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Vehicle Routing |
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Location Analysis |
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Transportation and Logistics |
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Maritime Logistics |
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Facility Logistics |
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Container Terminal Operations |
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Transportation Planning |
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Public Transport |
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Metaheuristics
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Metaheuristics |
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Multiple Criteria Decision Making and Optimization
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Analytic Hierarchy Processes, Analytic Network Processes |
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Multi-Objective Optimization |
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MCDA I: New Approaches and Applications |
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MCDA II: Axiomatic Basis, Meaningfulness, and other Issues |
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Preference Learning |
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OR Education, History, Ethics
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OR/MS: Beyond Mathematics |
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OR and Ethics |
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EJOR |
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OR in Health & Life Sciences
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Computational Biology, Bioinformatics and Medicine |
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Health Care Management |
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OR in Industry and Software for OR
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Software for OR/MS |
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IBM Research Applications |
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OR in Sports |
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Demand and Supply in Consumer Goods and Retailing |
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OR Applications in Industry |
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Engineering Optimization |
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OR and Real Implementations |
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OR in Natural Resources
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OR in Agriculture and Forest Management |
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OR in Water Management |
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OR in the Oil Sector |
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OR for Development and Developing Countries
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Education, and Social Policy |
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OR for Sustainable Development |
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Sustainable Living: Cognitive, Social, Economical, Ecological and World View |
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Optimization for Sustainable Development |
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Production Management & Supply Chain Management?
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Supply Chain Planning |
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Inventory Management |
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Lot-sizing and Scheduling, Economic Order Quantity |
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Efficiency and Productivity Analysis |
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Revenue Management & Managerial Accounting
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Revenue Management |
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Scheduling, Time Tabling & Project Management
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Realistic Production Scheduling |
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Timetabling and Rostering |
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Scheduling |
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Scheduling under Resource Constraints |
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Project Management and Scheduling |
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Simulation & Stochastic Programming and Modelling
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Stochastic Programming 1 |
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Stochastic Programming 2 |
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Stochastic Modeling and Simulation |
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Stochastic Models for Service Operations |
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Soft OR and Problem Structuring Methods
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Soft OR and Problem Structuring Methods |
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Telecommunication & Networks
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Network Optimization |
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Stream: Computational and Modeling Tools for Decision-Making under Uncertainty and for Combinatorial Optimization
The stream is looking for abstracts presenting advances in computational and modeling tools for complex optimization applications. Of particular interest are contributions in constraint programming, hybrid optimization, optimization under uncertainty, modeling languages and optimization systems, the integration of optimization and simulation, as well as innovative applications of such techniques.
Stream: Cutting and Packing
Contributions dealing with any aspect of the Cutting and Packing problems formulation, resolution or application are welcomed. This includes theoretical achievements, algorithms development and real-world implementations. Different problems, related with Cutting and Packing, are also welcomed.
Typical, but not exclusive, topics of interest are:
- One-Dimensional Problems
- Two-Dimensional Rectangular Problems
- Nesting and Irregular Shapes Packing
- Three-Dimensional Packing
- Bin-Packing
- Container Loading
- Problem Generators and Benchmarks
- Additional Objectives and Constraints in C&P
- Typologies
- Industrial applications
Stream: Data Mining in Early Warning Systems
We would like to invite all researchers, academicians, practitioners, as well as students interested in data mining (DM) and its applications in the development of early warning systems (EWSs) to participate in the conference and to present their papers in the sessions dedicated to these topics.
About DM in EWSs: Development of more effective EWSs for various applications have been possible during the past decade due to advancements in information, detection, data mining (DM) and surveillance technologies. These application areas include economy, banking, finance, health care, bioinformatics, production and service delivery, quality management, hazard and crime prevention and minimization of other social risks involving the environment, administrations, politics and human rights.
Typical applications of DM are observed in management of risks in economy, banking and financial operations, such as economic crisis prediction and fraud detection based on historical data about the economy or banking/financial operations and customers.
Environmental, public health and disaster monitoring systems use surveillance technologies such as remote sensing (satellite imaging) and the data collected are analyzed by DM approaches for early warnings. Several EWSs for health and infectious disease control exist that make more and more use of DM methods. Similarly, EWS applications and attempts are observed in the literature and in practice for network security, intelligence, protection against natural or man-made hazards, risks from poor product quality or competitors threats, and so on.
There is a need to develop many others and improve the existing ones for detecting important economic and social risks including hungers, epidemics, crimes, child abuses, unemployment, ethnic conflicts and environmental disasters.
Stream: Decision Support Systems
We would like to invite you: researchers, practitioners, as well as students working in the areas of decision making, analysis and decision support to participate at this Conference and to submit your work to this stream. Topics concerning the areas listed below are of particular interest in this stream:
- Models for Decision Making & Decision Analysis;
- Network-based Collaboration Decision Systems;
- New Methodologies and Technology in Group Decision Making;
- Knowledge Management as a Collaboration Model;
- Applications in Decision Making & Decision Analysis.
Stream: Facilitated Modelling in OR
The stream welcomes contributions from researchers and practitioners engaged in the development and/or use of facilitated modelling approaches to organisational intervention.
We define Facilitated Modelling as an approach to modelling where the operational researcher works both as an analyst and as a facilitator throughout the intervention, from helping the client to structure and define the nature of the problem situation of interest, to supporting the evaluation of priorities and development of plans for subsequent implementation.
Presentations of particular interest may include, but are not limited to:
- The process of facilitated modelling,
- Facilitation skills for problem structuring, decision analysis, and systems interventions,
- Computer support technology for facilitated modelling workshops,
- Novel applications of facilitated modelling,
- Evaluation of facilitated modelling interventions,
- Inter-disciplinary research into facilitated modelling
- Best practice guidelines for undertaking facilitated modelling interventions.
Invited sessions within the stream include:
- Facilitated Decision Analysis,
- Researching Facilitated Modelling,
- Facilitated Simulation.
Stream: Long Term Planning in Energy, Environment and Climate
The aim of the stream will be to present and discuss modeling approaches for various systems (e.g., climate, agriculture, forestry, energy, water) with the emphasis on their mathematical structures or on some specific results.
We would be glad to invite you to apply for the following invited sessions:
- Mathematical models for energy and environment;
- Energy and technological system issues;
- Meeting the targets: policy and measures.
Stream: Methodology of Societal Complexity
Methodology of Societal Complexity focuses on methods and tools for handling complex societal problems. Handling means analyzing, structuring, guiding and evaluating complex societal problems. Complex societal problems are often policy problems that can occur in many fields, like in the agro-industry (mad-cow disease, BSE; foot- and mouth disease; fowl plague, birds flu, Q-fever), in the transportation sector, in healthcare (malaria, HIV/Aids, Sars, flu), in Water affairs, economy (credit crisis) and global safety. It focuses also on handling local safety problems like large city issues and natural disasters as flood and hurricanes as well as global safety problems like war, terrorism. Although many of these issues have a different cause, they have so much in comment that they can be approached in the same way.
Complex societal problems as such, are unstructured, dynamical and constantly changing and have a large impact on society on macro, meso and on micro level.
Handling complex societal problems needs a special multi-disciplinary approach. The content knowledge comes from content experts. The process knowledge comes from facilitators. The attention of the research group is on the methods and tools facilitators need for supporting these kinds of problems. The facilitators use methods specially created for the field of societal problems combined with methods and insights derived from their original field like medicine, law, economics, societal sciences, methodology, mathematics, computer sciences, technology, engineering sciences, chaos theory and operational research. Often a combination of methods is needed. In this way the field uses all kind of methods from social sciences and operational research. An often-used approach is simulation.
Stream: OR in Fisheries, Maritime Sciences and Related Aspects
We would like to invite all researchers, academicians, practitioners, as well as students interested in fisheries and related aspects from food engineering, logistics, decision making, ecology, and politics, etc., to participate in the conference and to present their papers in the sessions dedicated to these topics.
Stream: OR for Development and Developing Countries
The stream welcomes contributions from researchers and practitioners that address all aspects of OR in the context of a developing country.
Stream: Demand, Pricing, and Revenue Management
The intention of the stream is not only to address classical topics in Revenue Management such as capacity control, but to examine the field from a broader perspective including, e.g., product line selection & pricing, dynamic pricing, or customer relationship management.
Stream: System Dynamics Modeling
The general purpose of this stream is to bring together contributions about the modelling of complex systems, based on the System Dynamics methodology.
Contributions from the fields of organization and management, engineering, economics, sociology, and ecology are particularly welcome.
Stream: Teaching OR/MS
We would like to invite you to present your educational experiences and successes in Teaching OR/MS within this stream. All the contributions are most welcome.
Some ideas for topics that could be addressed are:
- Computational Tools in OR Education;
- Use of Open-Source Software in OR Education;
- Using Games in OR Education;
- Undergraduate Education in Operations Research
Stream: Young People for System Theory, Optimization and Education
The stream will raise questions of involving youth into scientific activities and their participation in various scientific projects. We welcome to our stream scientist that organize work with youth as well as young people who are interested in science and do research activities. We will focus on the exchange of experience and search of new ideas in organization of scientific projects.
You are welcomed to submit abstracts to the following sessions within the stream:
- Involving youth into scientific projects;
- for popularization of science;
- OR in educational problems and systems.
Topics of interest include:
- Sustainable living and sustainable development fostered by the youth,
- OR methods for improvement of living conditions in emerging and developing countries,
- The OR community supporting democratic decision making processes,
- Summerschools in Kiev: OR as a key technology in education and research, http://summerschool.ssa.org.ua/
- Initiatives, exchange and efforts on establishing a national OR Society.
