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  • Call for Papers: Special Issue on OPTIMA-CON 2024

    Aims and Scope:
    This special issue presents selected papers from the OPTIMA-CON 2024 conference. OPTIMA-CON is hosted by the ARC Training Centre in Optimization Technologies, Integrated Methodologies, and Applications (OPTIMA). The conference will be held 10-12 July 2024 in Melbourne, Australia. OPTIMA-CON brings together industry professionals, researchers, and students from various national and international institutions. A diverse range of workshops, presentations and discussion groups will be held during the conference designed to foster meaningful collaborations and knowledge transfer between academia and the private sector. The conference aims to bring together optimization experts, academics, and professionals from across disciplines including operations research, evolutionary computation, and optimal decision-making. More details about the conference can be found at: https://optima.org.au/outreach-and-events/optima-con2024/ (this opens in a new tab)
     

    This special issue aims to showcase the importance of optimization in practice. Selected submitted abstracts to OPTIMA-CON 2024 will be invited to be submitted as a full-paper to the special issue. Submissions not presented at the conference are also welcomed. The special issue promotes developing new models or integrated frameworks for finding optimal solutions to solve real-world problems in different application areas such as healthcare, manufacturing, and transport.


    Submissions:
    Manuscripts should be prepared using Springer’s LaTeX macro package and submitted through the journal's editorial manager https://www.editorialmanager.com/optl. (this opens in a new tab) Each manuscript will be peer-reviewed according to the editorial policy of Optimization Letters. Articles should be original, unpublished, and not currently under consideration for publication elsewhere.


    Please select SI: OPTIMA2024 for the article type when submitting your contribution. All papers will go through a regular peer review process.
    Important Dates: Submission Deadline: October 31, 2024


    Keywords:
    Optimization, Operations Research, Evolutionary Computation, Constraint Programming, Optimal Decisions.
    Topics:
    The application topics of this special issue (and OPTIMA-CON) include, but are not limited to, the following: 
    •    Arts
    •    Infrastructure, Logistics and Transport
    •    Defense and Cybersecurity
    •    Energy, Water and Resource Management
    •    Advanced Manufacturing
    •    Climate and Environment
    •    Health and Wellbeing
    •    Social Good
    •    Education, Finance and the Service Economy
    •    Food Security and Agriculture
    •    Optimization Technologies

    Special Issue Organizers: 
    Dr. Mario Andrés Muñoz, University of Melbourne, Australia (munoz.m@unimelb.edu.au (this opens in a new tab)
    Dr. Joyce Zhang, University of Melbourne, Australia (lele.zhang@unimelb.edu.au (this opens in a new tab))
    Dr. Hadi A. Khorshidi, University of Melbourne, Australia (hadi.khorshidi@unimelb.edu.au (this opens in a new tab)
    Dr. Hao Wang, Monash University, Australia (hao.wang2@monash.edu (this opens in a new tab)
    Dr. Hossein Alipour, University of Sydney, Australia, (hossein.alipour@sydney.edu.au (this opens in a new tab)

  • SI: Computational Methods for Supply Chain and Logistics Planning Problems

    This special issue is devoted to recent advances that leverage computational methods for dealing with high degrees of complexity and uncertainty to address complex supply chain and logistics problems. 

    Submission Deadline: March 1, 2024.

    Guest Editors: Joseph Geunes, Texas A&M University, College Station, TX; Bahar Çavdar, Texas A&M University, College Station, TX; Reem Khir, Purdue University, West Lafayette, IN

  • SI: Advances in Computational Optimization and Their Modern Applications

    ‘Optimization’ and ‘Computing’ are highly interconnected research domains. This intertwinement has become even more highlighted in recent years with the resurgence of learning-based approaches such as machine learning, deep learning, and reinforcement learning and the emergence of concepts including crowdsourcing, smart and connected communities/systems, and autonomous and electric vehicles in various application domains. Therefore, this special issue seeks to rapidly disseminate concise and short high-quality articles (limited to a total of ten journal pages) to the community on recent advances in computational optimization and their modern applications.

    Submission Deadline: December 1st, 2022 (We encourage early submissions)

    Guest Editors:
    Hadi Charkhgard, University of South Florida, U.S.A., hcharkhgard@usf.edu (this opens in a new tab) 
    Jinkyoo Park, KAIST, Korea, jinkyoo.park@kaist.ac.kr (this opens in a new tab) 
    Changhyun Kwon, University of South Florida, U.S.A., chkwon@usf.edu (this opens in a new tab)

  • Best Paper Award

    The Best Paper Award for Optimization Letters is awarded annually to honor the authors of the best paper published in the journal in the previous year.

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