AimMost real-world optimization problems have more than one objective, with at least two objectives that are in conflict with one another. The conflicting objectives of the optimization problem lead to an optimization problem where a single solution does not exist, as is the case with single-objective optimization problems (SOOPs). In stead of a single solution, a set of optimal trade-off solutions exists, referred to as the Pareto-optimal front (POF) or Pareto front. This kind of optimization problems are referred to as multi-objective optimization problems (MOOPs).
In many real-world situations the environment does not remain static, but is dynamic and changes over time. However, in recent years most research focussed on either static MOOPs or dynamic SOOPs. When solving dynamic multi-objective optimization problems (DMOOPs) an algorithm has to track the changing POF over time, while finding solutions as close as possible to the true POF and maintaining a diverse set of solutions. Some of the major challenges in the field of dynamic multi-objective optimization (DMOO) are a lack of a standard set of benchmark functions, a lack of standard performance measures, issues with performance measures currently being used for DMOO and a lack of a comprehensive analysis of existing algorithms applied to DMOO.
Therefore, this special session aims to highlight the latest developments in DMOO in order to bring together researchers from both academia and industry to address the above mentioned challenges and to explore future research directions for the field of DMOO.
ScopeWe invite authors to submit original and unpublished work on DMOO. Topics of interest include, but are not limited to:
- DMOO Benchmark functions
- Performance measures for DMOO
- Constrained DMOO
- New DMOO algorithms
- Comparative studies of DMOO algorithms
- Theoretical aspects of DMOO algorithms
- Real-world applications of DMOO algorithms
- Approaches to handle outlier solutions
It should be noted that approaches that change the DMOOP to a DSOOP are outside the scope of this special session.
DeadlinePaper submission deadline is 20 December 2013.
Information for Authors
- Papers should be submitted via the CEC 2014 paper submission site: http://ieee-cis.org/conferences/cec2014/upload.php
- Select the Special Session name in the Main Research Topic dropdown list.
- Information on the format and templates for papers can be found at: http://www.ieee-wcci2014.org/Paper%20Submission.htm
- Information on the Special Session can be found at: https://sites.google.com/site/cec2014dmooss
Dr. Mardé Helbig
Council for Scientific and Industrial Research (CSIR)
Pretoria, 0184, South Africa
Prof. Andries Engelbrecht
South African Research Chair in Artificial Intelligence
Department of Computer Science, School of Information Technology
University of Pretoria
Pretoria, 0002, South Africa