Special Issue "Combinatorial Optimization & Applications"
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1853
Interests: combinatorial optimization; network planning; resource planning and placement; evolutionary computation; machine learning; computational intelligence
Interests: healthcare informatics; healthcare data standards and vocabularies; database management systems for healthcare; software development
Special Issues, Collections and Topics in MDPI journals
We invite you to submit your original research work to the Special Issue “Combinatorial Optimization & Applications” in Axioms. Combinatorics is a branch of mathematics focused on the enumeration, combination, and permutation of sets of elements and the mathematical relations that characterize their properties. More formally, this concept is known as combinatorial optimization, and has applications in almost every research domain involving computationally challenging problems. Generally, the goal of combinatorial optimization is to find an optimal object from a finite set of objects, where the set of feasible solutions is discrete or can be reduced to a discrete set. The most studied combinatorial optimization problems are the travelling salesman problem, knapsack problem, and bin packing. Most of the known exact algorithms used to solve these types of problems require worst-case exponential time, which is not conducive to solving real-world problems. As a feasible approach, researchers are developing approximate algorithms that can generate superior-quality solutions in less time. This Special Issue aims to publish papers on topics including but not limited to combinatorial optimization models and algorithms able to solve real-world issues for existing and upcoming applications.
Dr. Hafiz Munsub Ali
Dr. Syed Ahmad Chan Bukhari
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. Axioms 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 2400 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.
- combinatorial optimization issues in machine learning techniques
- combinatorial optimization issues in artificial intelligence
- combinatorial optimization issues in surrogate-assisted computing
- applications of evolutionary computation
- applications of approximate algorithms
- modelling combinatorial optimization issues in healthcare
- modelling combinatorial optimization issues in smart applications
- planning a network infrastructure
- placing virtual machines in datacentres
- optimizing network resources
- optimizing operating power in network
- optimize routing in network
- real-world scheduling problems
- similar real-world applications, etc.