Special Issue "Optimization Algorithms: Theory and Applications"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 636

Special Issue Editor

Prof. Dr. Frank Werner
E-Mail Website
Guest Editor
Faculty of Mathematics, Otto-von-Guericke-University, P.O. Box 4120, D-39016 Magdeburg, Germany
Interests: scheduling, in particular development of exact and approximate algorithms; stability investigations is discrete optimization; scheduling with interval processing times; complexity investigations for scheduling problems; train scheduling; graph theory; logistics; supply chains; packing; simulation and applications
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Special Issue Information

I invite you to submit your latest research in the area of mathmatical optimization to this Special Issue, “Optimization Algorithms: Theory and Applications” in the journal Mathematics. Optimization problems arise in all fields in the real world and have immense importance. This Issue deals with aspects of mathematical modelíng and the development of innovative novel algorithms for the solution of various types of optimization problems. High-quality papers that address both theoretical and practical issues in the area of optimization, and submissions that present new theoretical results, models and algorithms, as well as new applications, are welcome. Potential topics include, but are not limited to, applications of discrete and continuous optimization, stochastic optimization, vector optimization, optimization problems on graphs, scheduling, manufacturing, logistics, transportation, healthcare, and other operations research problems.

Prof. Dr. Frank Werner
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. Mathematics is an international peer-reviewed open access semimonthly 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 1800 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

  • linear and nonlinear programming
  • integer and mixed-integer programming
  • dynamic programming
  • combinatorial optimization
  • semi-infinite programming
  • semidefinite programming
  • global optimization
  • stochastic optimization
  • robust optimization
  • multi-criteria optimization problems
  • operations research problems
  • optimization on graphs and networks
  • scheduling
  • optimization in logistics
  • optimization of manufacturing processes
  • vehicle routing and other transportation problems
  • healthcare problems
  • control-theoretic problems
  • exact solution algorithms
  • advanced heuristics and metaheuristics
  • machine-learning
  • complexity issues

Published Papers (1 paper)

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Research

Article
An Improved Arithmetic Optimization Algorithm for Numerical Optimization Problems
Mathematics 2022, 10(12), 2152; https://doi.org/10.3390/math10122152 - 20 Jun 2022
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Abstract
The arithmetic optimization algorithm is a recently proposed metaheuristic algorithm. In this paper, an improved arithmetic optimization algorithm (IAOA) based on the population control strategy is introduced to solve numerical optimization problems. By classifying the population and adaptively controlling the number of individuals [...] Read more.
The arithmetic optimization algorithm is a recently proposed metaheuristic algorithm. In this paper, an improved arithmetic optimization algorithm (IAOA) based on the population control strategy is introduced to solve numerical optimization problems. By classifying the population and adaptively controlling the number of individuals in the subpopulation, the information of each individual can be used effectively, which speeds up the algorithm to find the optimal value, avoids falling into local optimum, and improves the accuracy of the solution. The performance of the proposed IAOA algorithm is evaluated on six systems of nonlinear equations, ten integrations, and engineering problems. The results show that the proposed algorithm outperforms other algorithms in terms of convergence speed, convergence accuracy, stability, and robustness. Full article
(This article belongs to the Special Issue Optimization Algorithms: Theory and Applications)
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