Multi-objectivization is a new optimization paradigm that reformulates single-objective or multi-objective optimization problems into problems with more objective functions. Adding an objective function reduces the number of local optima and/or develops plateaus of incomparable solutions in search space, i.e., changes the fitness landscape. From this advantage, multi-objectivization aims to obtain more diverse and higher quality solutions than optimizing the original problem. However, many important issues are still unknown or unsolved and remained as open questions in multi-objectivization, e.g., When should problems be multi-objectivized? What and how many objective functions should be added? Why do the additional objective functions make the problem easier? How does the additional objective function change the landscape? To find the answer to these questions, this special session aims to bring researchers together to explore novel methods and discuss the future direction from the viewpoint of evolutionary computation.
Authors are invited to submit original, unpublished works to this special session. Topics of interest include, but are not limited to:
Multi-objectivization methods for continuous, or combinatorial optimization problems.
Multi-objectivization methods for machine learning, dynamic or constrained optimization problems.
Adaptive and dynamic multi-objectivization methods.
Empirical or theoretical analysis of the effects of additional objective functions or changing solution evaluation indicators on the algorithm performance.
Analysis of changes in the fitness landscape by the additional objective function. (includes single- and multi-objective landscape analysis)
Case studies of multi-objectivization in real-world problems.
Deadline for submission of full papers: 15th, January 2024 -> 29th, January 2024 (Extended)
Notification: 15th, Mar 2024
Final paper submission & Early registration deadline: 1st, May 2024:
Conference dates: 30th, Jun – 5th, Jul 2024
The University of Electro-Communications
The University of Electro-Communications
The University of Electro-Communications
cec2024-mie@hs.hc.uec.ac.jp