Computational Optimization
(CO)Many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods.
The aim of this Thematic Session is to stimulate the communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods.
We invite original contributions related to both theoretical and practical aspects of optimization methods.
Topics
The list of topics includes, but is not limited to:
- combinatorial and continuous global optimization
- unconstrained and constrained optimization
- multiobjective and robust optimization
- optimization in dynamic and/or noisy environments
- optimization on graphs
- large-scale optimization, in parallel and distributed computational environments
- meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods
- exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods
- numerical and heuristic methods for modeling
The applications of interest are included in the list below, but are not limited to:
- classical operational research problems (knapsack, traveling salesman, etc)
- computational biology and distance geometry
- data mining and knowledge discovery
- human motion simulations; crowd simulations
- industrial applications
- optimization in statistics, econometrics, finance, physics, chemistry, biology, medicine, and engineering
- environment modeling and optimization
In the past, a number of Best Paper awards was granted to participants of this Thematic Session Best Paper Award – past winners.
Thematic Session organizers
- Fidanova, Stefka, Bulgarian Academy of Sciences, Bulgaria
- Mucherino, Antonio, IRISA, University of Rennes, France
- Zaharie, Daniela, West University of Timisoara, Romania
Submission rules
- Authors should submit their papers as Postscript, PDF or MSWord files.
- The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added, for an additional fee. IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
- Preprints containing accepted papers will be published online.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information here.
- Organizers reserve right to move accepted papers between FedCSIS Tracks.
Extended versions of selected papers presented during the conference will be published as a volume in the Studies in Computational Intelligence Springer series.
History
Important dates
- Thematic Session proposal submission: 26.11.2025
- Paper submission (no extensions): TBA
- Position paper submission: TBA
- Author notification: TBA
- Final paper submission, registration: TBA
- Early registration discount: TBA
- Conference date: September 14-17