[Compall] [IEEE CEC] CFP: ADEMO 2025 Special Session @ IEEE CEC [January 15th, 2025]

Lun Dic 16 16:00:59 CST 2024

Dear Colleagues,

On behalf of the ADEMO organizers, I would like to send our best wishes to
you and your family for a happy, healthy, and successful New Year 2025!

We are inviting you to submit your research work to *CEC 2025
<https://www.cec2025.org/>* Special Session *Advances in
Decomposition-based Evolutionary Multi-objective Optimization
<https://sites.google.com/view/ademo-sessions/ADEMO/>*

We would appreciate it if you forwarded this CFP to the appropriate
communities.

=============

Call for Papers

-------------------------------
*Special Session on Advances in Decomposition-based Evolutionary
Multi-objective Optimization*
-------------------------------
*IEEE Congress on Evolutionary Computation (IEEE CEC)*
<https://www.cec2025.org/>

*June 8th-July 12th, 2025.*Venue - Hangzhou, China.
-------------------------------

Supported by IEEE CIS Task Force on Decomposition-based Techniques in
Evolutionary Computation <https://cola-laboratory.github.io/docs/misc/dtec/>

**** Scope and Topics*

Decomposition-based Evolutionary Multi-objective Optimization (DEMO)
encompasses any technique, concept, or framework that takes inspiration
from the "divide and conquer" paradigm, by breaking a multi-objective
optimization problem into several subproblems. This simple idea, which is
standard in computer science, allows us to open up new research
perspectives and challenges in both the fundamental level of our
understanding of multi-objective problems and concerning designing and
implementing new efficient algorithms for solving them. Many
different DEMO algorithms have been proposed, studied, and applied to
various application domains in recent years. However, DMOEAs are still in
their very early infancy, since only a few basic design principles have
been established compared to the vast body of literature dedicated to other
well-established approaches (e.g., Pareto-, indicator-based techniques,
etc.). Thus, the topics of interest include (but are not limited to) the
following aspects:

   - Analysis of algorithmic components and performance assessment
   of DEMO approaches.
   - Experimental and theoretical investigations on the accuracy of the
   underlying decomposition strategies, e.g. scalarizing functions techniques,
   multiple reference points, variable grouping, etc.
   - Adaptive, self-adaptive, and tuning aspects for DEMO approaches'
   parameter setting and configuration.
   - Design and analysis of new DEMO approaches dedicated to specific
   combinatorial, constrained, and/or continuous domains.
   - Effective hybridization of single-objective solvers
   with DEMO approaches, i.e., plug-and-play algorithms based on traditional
   single-objective evolutionary algorithms and meta-heuristics, such as
   Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), Differential
   Evolution (DE), Ant Colony Optimization (ACO),  Covariance Matrix Evolution
   Strategy (CMA-ES),  Scatter Search (SS), etc.
   - Adaptation and analysis of DEMO approaches in the context of
   large-scale and many-objective problem-solving.
   - Application of DEMO approaches for real-world problem solving.
   - Design and implementation of DEMO approaches in massively parallel and
   large-scale distributed environments (e.g., GPUs, Clusters, Grids, etc).
   - Software tools for the design implementation and performance
   assessment of DEMO approaches

**** Important Dates*

*Paper Submission Deadline: *January 15th, 2025
*Paper Acceptance Notification:* March 15th, 2025
*Final Paper Submission & **Early Registration:*  May 1st, 2025

The submission procedure, deadlines, and paper format are the same as the *IEEE
CEC 2025 *main conference. In particular, we recall that papers must be
submitted through the *IEEE CEC 2025* online *submission system
<https://openreview.net/group?id=IEEE.org/CEC/2025/Congress#tab-your-consoles>*
while
selecting the ADEMO special session under the list of *Main research topics* in
the submission system.

**** Organizers and Contact *

--*Saúl Zapotecas-Martínez* (szapotecas en inaoe.mx)
National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico

--*Bilel Derbel* (bilel.derbel en univ-lille.fr)
University of Lille 1, INRIA Lille Nord Europe, France

--*Ke Li* (K.Li en exeter.ac.uk)
University of Exeter, UK

--*Qingfu Zhang* (qingfu.zhang en cityu.edu.hk)
City University of Hong Kong, Hong Kong

-- 
Dr. Saúl Zapotecas-Martínez
Computer Science Department,
National Institute of Astrophysics, Optics and Electronics,
Luis Enrique Erro No. 1, Tonantzintla, Puebla 72840, MEXICO

szapotecas en inaoe.mx
https://ccc.inaoep.mx/~szapotecas/

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