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EURO Bulletin Board - Publications

CFP Special Issues on Metaheuristics

• Dear Researchers,

  Following the 15th Metaheuristics International Conference (MIC 2024) that took place in Lorient (France) in June 2024, and sponsored by EURO, two special issues are now open for submitting your original contributions in the area of Metaheuristics. Both properly extended and revised versions of papers accepted at the conference, as well as new and original contributions can be submitted.

  https://mic2024.univ-ubs.fr/special-issue/
  

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  Journal of Heuristics
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  Deadline: February 15th 2025
  

  Area Editor: Marc Sevaux (Université Bretagne Sud, France)

  Guest Editors: Romain Billot (IMT Atlantique, France), Salma Makboul (Université de Technologie de Troyes, France), Alexandru-Liviu Olteanu (Université Bretagne Sud, France), Eduardo G. Pardo (Universidad Rey Juan Carlos, Spain)
  

  Authors should submit their manuscripts using the Journal of Heuristics Editorial Manager at https://www.editorialmanager.com/heur, selecting "S.I. : Metaheuristics International Conference" as article type. All manuscripts must be prepared in accordance with the available instructions for authors.

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  International Transactions in Operational Research (ITOR)
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  Deadline: March 31st 2025

  Guest Editors: Patrick Meyer (IMT Atlantique, France), Marc Sevaux (Université Bretagne Sud, France), Angelo Sifaleras (University of Macedonia, Greece), Kenneth Sörensen (University of Antwerp, Belgium)

  Manuscripts should be prepared according to the instructions to authors available at https://onlinelibrary.wiley.com/page/journal/14753995/homepage/forauthors.html. Authors should upload their contributions using the submission site http://mc.manuscriptcentral.com/itor, indicating in their cover letter that the paper is intended for this special issue and listing the novel contributions considering the related literature.

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  Considerations
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  Papers covering all aspects of metaheuristic research and applications are welcome, including(but not limited to):

  • Metaheuristics such as tabu search, simulated annealing, greedy randomized adaptive search procedures, iterated local search, variable neighborhood search, memory-based optimization, dynamic local search, evolutionary algorithms, memetic algorithms, ant colony optimization, particle swarm optimization, scatter search, and path relinking.
  • Techniques that enhance the usability and increase the potential of metaheuristics such as reactive search mechanisms for self-tuning, offline metaheuristic algorithm configuration techniques, algorithm portfolios, and parallelization of metaheuristics.
  • Empirical and theoretical research in metaheuristics including large-scale experimental analyses, algorithm comparisons, new experimental methodologies, engineering methodologies for metaheuristics, search space analysis, theoretical insights into properties of metaheuristics, among others.
  • High-impact applications of metaheuristics in fields such as bioinformatics, electrical and mechanical engineering, telecommunications, sustainability, business, scheduling and timetabling. Particularly welcome are innovative applications of metaheuristic algorithms that have a potential of pushing research frontiers.
  • Contributions on the combination or hybridization of metaheuristics with other methods, such as integer programming, constraint programming, or machine learning. Contributions of metaheuristic techniques in machine learning and deep learning for finetuning and neural architecture search.
  • Challenging applications areas such as continuous, mixed discrete-continuous, multi-objective, stochastic, or dynamic problems.

  An important note concerns submissions on metaphor-inspired metaheuristics. JOH and ITOR are not interested in metaphor-based or bestial metaheuristics, or other methods of the same nature, based on concepts that are not clearly suitable to develop an optimization method and often similar to other already existing approaches. The Guest Editors invite authors of manuscripts based on metaphor-inspired metaheuristics (other than well-established ones) to use a metaphor-free language. This also facilitates their conceptual comparison to other existing algorithms, as well as highlighting the algorithmic contributions to the literature.

  Posted on 2024-11-05 by Marc Sevaux