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 workshop 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.
The list of topics includes, but is not limited to:
unconstrained and constrained optimization
combinatorial optimization
continues optimization
global optimization
multiobjective optimization
optimization in dynamic and/or noisy environments
large scale optimization
parallel and distributed approaches in optimization
random search algorithms, simulated annealing, tabu search and other derivative free optimization methods
nature inspired optimization methods (evolutionary algorithms, ant colony optimization, particle swarm optimization, immune artificial systems etc)
hybrid optimization algorithms involving natural computing techniques and other global and local optimization methods
computational biology and optimization
distance geometry and applications
optimization methods for learning processes and data mining
application of optimization methods on real life and industrial problems
computational optimization methods in statistics, econometrics, finance, physics, chemistry, biology, medicine, engineering etc.
Authors should submit draft papers (as Postscript, PDF or MSWord file).
The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
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 indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
Extended versions of selected papers presented during the conference will be published as a volume in the Studies in Computational Intelligence series.
Organizers reserve right to move accepted papers between FedCSIS events.
09月11日
2016
09月14日
2016
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