Date: September 27-29, 2016
Venue: University of Josip Juraj Strossmayer in Osijek Osijek, Croatia
Deadline for abstract submission: July 24, 2016
Organized by: Croatian Operational Research Society in collaboration with Faculty of Economics in Osijek & Department of Mathematics
Objectives and Topics of the Conference
KOI brings together researchers and practitioners from various aspects of operational research (OR) with the aim of establishing contacts and presenting scientific ideas and experience.The scope of the conference includes development of operational research methods, such as linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, game theory, statistics, econometrics, machine learning methods (neural networks, support vector machines, clustering), fuzzy systems, control theory, simulation, as well as the application of quantitative methods in macroeconomics, economic theory, marketing, banking, finance, insurance, environment, energy, health, information and decision support systems, big data, business analytics, and in other areas of application. The topics of the KOI 2016 are divided into following main sections: OR Theory and Applications, Mathematical Programming, Multicriteria Decision Making, Quantitative Methods in Banking and Finance , Statistics and Econometrics, Machine Learning, Data Mining and Analytics, Special Section on Interior-Point Methods.
There will be plenary lectures of invited keynote speakers and contributed presentations. The planned duration of each plenary lecture is 45 minutes, while contributed presentations will last 20 minutes. The authors will be asked to leave 5 minutes for discussion within a given time.
Invited Keynote Speakers
– Jakob Krarup (Professor Emeritus -Department of Computer Science DIKU, University of Copenhagen) Steven Vajda – the pioneer of OR who introduced linear programming to Europe and Asia
– Andrew R. Barron (Professor, Department of Statistics, Yale University New Haven, CT, USA Title of the talk: High-Dimensional Neural Networks: Statistical and Computational Properties)
– Francisco Martínez Álvarez (Associate Professor, School of Engineering, Pablo de Olavide University Sevilla, Spain) Earthquake prediction based on data mining techniques
– Marko Bohanec (Scientific Councilor, Department of Knowledge Technologies, Jožef Štefan Institute, Ljubljana, Slovenia) Qualitative Multi-Criteria Modelling Method DEX: Approach, Recent Advances and Applications
– Tibor Illés (Associate Professor, Department of Differential Equations, Mathematical Institute, Budapest University of Technology and Economics, Budapest, Hungary) Linear complementarity problems: matrix classes, algorithms and applications