10-13 June 2019 - Wellington, New Zealand
Held in conjuction with the IEEE CEC 2019 conference
The purpose of this special session is to promote the design, study, and validation of generic approaches for solving multi-objective optimization problems based on the concept of decomposition. Decomposition-based Evolutionary Multi-objective Optimization (DEMO) encompasses any technique, concept or framework that takes inspiration from the "divide and conquer" paradigm, by essentially breaking a multi-objective optimization problem into several subproblems for which solutions for the original global problem are computed and aggregated in a cooperative manner.
We encourage contributions reporting advances with respect to other decomposition techniques operating in the decision space or other hybrid approaches taking inspiration from operations research and mathematical programming. Many different DMOEAs variants have been proposed, studied and applied to various application domains. However, DEMOs are still in their very early infancy, since only a few basic design principles have been established compared to the huge body of literature dedicated to other well-established approaches (e.g. Pareto ranking, indicator-based techniques, etc). The main goal of the proposed session is to encourage research studies that systematically investigate the critical issues in DMOEAs at the aim of understanding their key ingredients and their main dynamics, as well a to develop solid and generic principles for designing them. The long-term goal is to contribute to the emergence of a general and unified methodology for the design, the tuning and the performance assessment of DEMOs.
The topics of interests include (but are not limited to) the following issues:
Submission procedure, deadlines, and paper format are same than the IEEE CEC'19 main conference. In particular, we recall that papers must be submitted through the IEEE CEC 2019 online submission system while selecting the ADEMO special session under the list of research topics in the submission system.