LION 9 Call for Papers: Special Sessions
Special sessions are organized as part of LION9 as a way to focus submissions and encourage more interaction between specific communities. In general, submission and publication rules are the same as for the general call for papers, with the organizers of the special sessions coordinating and helping in identifying competent reviewers.
Special session on Dynamic Optimization (LION-DO)
Organizers:
- Patrick Siarry, University of Paris-Est Créteil, France
- Raymond Chiong, University of Newcastle, Australia
In recent years,
dynamic optimization has attracted much interest due to its
practical relevance. Indeed, many real-world optimization
problems are dynamic in nature, i.e. their objective
function changes over time. Typical examples include
resource allocation, dynamic vehicle routing, scheduling,
and object tracking. In other cases, the objective function
is uncertain or noisy as a result of simulation/measurement
errors or approximation errors.
In addition, the design variables or environmental
conditions may also be perturbed or changed over time. The
objective of an efficient dynamic metaheuristic algorithm is
to locate the global optimum solution, to continuously track
the optimum in dynamic environments, and/or to find a robust
solution that operates optimally in the presence of
uncertainties.
This special session aims at bringing academic researchers
and practitioners together to review the latest advances and
explore future directions in this field. Topics of interest
include, but are not limited, to:
- Benchmark problems and performance measures
- Tracking moving optima
- Dynamic multiobjective optimization
- Adaptation, learning, and anticipation
- Handling noisy fitness functions
- Using fitness approximations
- Searching for robust optimal solutions
- Comparative studies
- Hybrid approaches
- Theoretical analysis
- Real-world applications
Papers on all
topics related to the session's theme are solicited.
Prospective authors should submit their papers via the
online submission system of LION9. Authors are advised to
pay careful attention when selecting a paper category.
In addition, an e-mail message including the paper Id, title
of paper, author names, and abstract must be sent to:
siarry[[at]]u-pec.fr and
raymond.chiong[[at]]newcastle.edu.au and all accepted novel
and unpublished papers will be published in the
post-conference proceedings of LION9.
Special session on Multiobjective Combinatorial Optimization (LION MoCO)
Organizers:
- Hernan Aguirre - Shinshu University, Japan - ahernan@shinshu-u.ac.jp
- Kiyoshi Tanaka - Shinshu University, Japan - ktanaka@shinshu-u.ac.jp
- Arnaud Liefooghe - Université Lille 1, France - arnaud.liefooghe@univ-lille1.fr
- Sébastien Verel - Université du Littoral Côte d'Opale, France – verel@lisic.univ-littoral.fr
Evolutionary algorithms and other classes of metaheuristics are often
used to solve difficult problems arising in multiobjective
combinatorial optimization. Such randomized search heuristics include
evolutionary algorithms, neighborhood-based search, simulated
annealing, tabu search, iterated local search, memetic algorithms,
hyperheuristics, etc. Successful applications of metaheuristics for
multiobjective combinatorial optimization can be found in fields like
scheduling, timetabling, planning, network design, transportation and
distribution problems, vehicle routing, traveling salesman, packing,
power systems, image processing, and many others.
This special session aims at bringing together researchers working on
the design, implementation, theoretical and experimental analysis of
metaheuristics for multiobjective combinatorial optimization.
Topics of interest include, but are not limited to:
Special session on Optimisation and learning for smart cities and grids (LION-SMART)
Organizers:
- El-Ghazali Talbi - INRIA Lille nord Europe/University of Lille 1