****************************************************************
CfP: Call For Papers
IAM 2024
9th GECCO Workshop on Industrial Applications of Metaheuristics
Melbourne(hybrid), Australia, July 14-15th, 2024
****************************************************************
IAM is held as part of the 2024 Genetic and Evolutionary Computation Conference (GECCO-2024), July 14-15, Melbourne(hybrid), Australia.
Aims and Scope
Metaheuristics have been applied successfully to many aspects of applied mathematics and science, showing their capabilities to deal effectively with problems that are complex and otherwise difficult to solve. There are a number of factors that make the usage of metaheuristics in industrial applications more and more interesting. These factors include the flexibility of these techniques, the increased availability of high-performing algorithmic techniques, the increased knowledge of their particular strengths and weaknesses, the ever increasing computing power, and the adoption of computational methods in applications. In fact, metaheuristics have become a powerful tool to solve a large number of real-life optimization problems in different fields and, of course, also in many industrial applications such as production scheduling, distribution planning, and inventory management.
This workshop proposes to present and debate about the current achievements of applying these techniques to solve real-world problems in industry and the future challenges, focusing on the (always) critical step from the laboratory to the shop floor. A special focus will be given to the discussion of which elements can be transferred from academic research to industrial applications and how industrial applications may open new ideas and directions for academic research.
Topic areas include (but are not restricted to):
Success stories for industrial applications of metaheuristics
Pitfalls of industrial applications of metaheuristics.
Metaheuristics to optimize dynamic industrial problems.
Multi-objective optimization in real-world industrial problems.
Meta-heuristics in large-scale constrained industrial optimization problems.
Reduction of computing times through parameter tuning and surrogate modelling.
Parallelism and/or distributed design to accelerate computations.
Algorithm selection and configuration for complex problem solving.
Advantages and disadvantages of metaheuristics when compared to other techniques.
New research topics for academic research inspired from industrial applications.
Submission
Authors can submit:
Short contributions including position papers of up to 4 pages - and/or
Regular contributions of up to 8 pages.
In both cases, it is mandatory to follow the official GECCO paper formatting guidelines. Please see the GECCO 2024 information for workshop authors for further details regarding formats and how to submit, accessible through https://gecco-2024.sigevo.org/Call-for-Workshop-Papers.
Software demonstrations will also be welcome (please write to organizers for more info).
Important Dates
=================
Paper Submission deadline: April 8, 2024
Notification of paper acceptance: May 3, 2024
Camera ready submission: May 10, 2024
Conference dates: July 14/15th, 2024
Note: The conference will be held in hybrid mode, with all events facilitating online participation.
Workshop Chairs
Silvino Fernandez Alzueta (ArcelorMittal)
Pablo Valledor Pellicer (ArcelorMittal)
Thomas Stuetzle (Universite Libre de Bruxelles, ULB)
-----
As a published ACM author, you and your co-authors are subject to all ACM Publications Policies (https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects (https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects).
-----
Thomas Stützle
F.R.S.-FNRS Research Director
Université libre de Bruxelles (ULB)
IRIDIA CP 194/6, S.C5.108a
Av. F. Roosevelt 50, 1050 Brussels, Belgium
http://iridia.ulb.ac.be/~stuetzle
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************