June 30th - July 5th, 2024
IEEE CEC2024 Special session on Evolutionary computation and swarm intelligence for dynamical environments and multitasking problems: LET two different approaches Meet
at PACIFICO Yokohama, Japan
Aim and Scope
Many evolutionary computations (ECs) and swarm intelligence (SI) succeed in optimization in the “static” environment where the optimal solutions or the landscape of solutions are/is fixed in given single and multi-objective functions. However, EC/SI has not yet established in the “dynamic” environment where the optimal solutions or the landscape of solutions change(s) with lapse of time. In such an environment, new methods are needed to adapt to the changing landscape. What should be noted here is that these kinds of techniques are useful not only for “dynamical environment optimization” but also for “(evolutionary) multitask optimization” which solves multiple tasks simultaneously. This is because (i) the group dynamics of individuals (e.g., a ratio of individuals of each task) changes in a process of solving multiple tasks and (ii) the individuals should adapt to a group dynamics change to solve multiple tasks effectively in the multitask optimization as well as the individuals should adapt to a landscape change to track the changing optimal solutions in the dynamical environment optimization. From these similar characteristics of “dynamical environment optimization” and “multitask optimization”, this special session aims at bringing together researchers from both research areas to explore new methods of EC/SI for dynamical environments and multitasking problems, and explore future directions in this field.
ToPICS
Authors are invited to submit original, unpublished works to this special session. Topics of interest include, but are not limited to:
Evolutionary computations (EC) for dynamic single or multiple objective function
Swarm intelligence (SI) for dynamic single or multiple objective function
EC/SI for dynamic multimodal functions
Evolutionary multitask optimization
Evolutionary multi-factorial optimization
Multitasking techniques for controlling cooperation among individuals
Theory for adapting to “landscape change” or “group dynamics change”
Real-world problems as dynamic environments and multitasking problems
Important Dates
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
Organizers
Keiki Takadama
The University of Electro-Communications, Japan
Shio Kawakami
The University of Electro-Communications, Japan
Hiroyuki Sato
The University of Electro-Communications, Japan
Contact
cec2024-ecsi@hs.hc.uec.ac.jp