Nonlinear Optimization: Algorithmic Advances and Innovative Applications
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: 30 September 2025 | Viewed by 53
Special Issue Editor
Interests: business analytics; nonlinear optimization; global optimization; stochastic programming; software development; applications
Special Issue Information
Dear Colleagues,
Nonlinear optimization—including local and global and deterministic and stochastic optimization paradigms—is applicable to a broad range of business, engineering, and scientific decision-making situations. We invite to this Special Issue of Algorithms state-of-the-art contributions that present algorithmic advancements and innovative applications that can solve practically important decision problems.
Nonlinear optimization problems frequently require the development of new models and algorithmic advances, implying theoretical and computational challenges. The objectives of this Special Issue are to highlight their interaction and to facilitate collaboration between researchers proposing new algorithmic approaches and their real-world applications. By combining theoretical rigor with heuristics and practical insights, we aim at contributing to the development of efficient solutions to hard nonlinear decision problems.
We invite contributions to this Special Issue that are related to the following topics:
- Deterministic model development and optimization applied to real-world problems.
- Stochastic simulation, stochastic programming, and simulation optimization applied to real-world problems.
- Algorithmic advances: novel heuristics and optimization algorithms and methodologies.
- Challenges and innovative solutions in the applications of nonlinear optimization.
- Interdisciplinary approaches: contributions that bridge disciplines—such as business analytics, management science, operations research, industrial engineering, and computer science—to address complex nonlinear optimization applications.
- Integration of emerging technologies (such as artifical intelligence, machine learning, etc.) into optimization algorithms to enhance their applicability and efficiency.
Dr. János D. Pintér
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- nonlinear optimization
- deterministic and stochastic models
- global and local optimization
- optimization algorithms
- exact and heuristic approaches
- simulation optimization
- business, engineering, and scientific applications
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