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Optimization Algorithms for Engineering Applications

This special issue belongs to the section “Information Processes“.

Special Issue Information

Dear Colleagues,

Engineering application refers to applying theoretical knowledge, science, technology, scientific research results, experimental results, inventions, etc., through industrialization in the actual engineering of production, manufacturing, and construction processes. Various engineering applications are complex real-world problems. They are generally motivated by the ideas of evolution, human and animal behavior, or MPC (mathematics, physics, and chemistry). Optimization algorithms are widely acknowledged in the application of solving complex problems, such as non-convex, nonlinear constraints, and high-dimensional problems. There is a lot of literature on optimization algorithms, and they all eventually find the optimal solution through an exploration and exploitation process. Due to the stochastic nature of optimization algorithms, accurate and adequate results can be produced at a small cost.

This Special Issue intends to capture recent contributions of high-quality papers focusing on interdisciplinary research on the optimization algorithm for engineering applications using modern computational intelligence theories, approaches, and experiments. We invite the researchers to submit their original contributions addressing particular challenging aspects of optimization algorithms from theoretical and applied viewpoints. The topics of this Special Issue include (but are not limited to) the following:

  • Optimization algorithms
  • Swarm intelligence
  • Meta-heuristics
  • Engineering applications
  • Engineering design problems
  • Feature selection
  • Image segmentation
  • Real-world applications
  • Constraint handling
  • Benchmarks
  • Novel Approaches
  • Complicated Optimization Problems
  • Industrial Problems

Prof. Dr. Heming Jia
Dr. Laith Abualigah
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Information 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 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

  • optimization algorithms
  • engineering application
  • metaheuristic algorithms

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Information - ISSN 2078-2489