Intelligence Computing and Optimization Methods in Natural Sciences
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2713
Special Issue Editor
Interests: inverse geophysical problems; numerical methods & mathematical modeling; inversion theory; exploration geophysics; unstable problems
Special Issue Information
Dear Colleagues,
I invite you to submit your latest research in the area of Intelligence Computing and Mathematical Optimization Methods to this Special Issue “Intelligence Computing and Optimization Methods in Natural Sciences”.
This Issue deals with aspects of mathematical modeling and the development of innovative novel algorithms for the solution of various types of optimization problems in natural sciences.
Optimization problems arise in all fields in the real world and have immense importance.
Mathematical optimization methods and intelligence computing are two advanced technologies that are used in a various fields of applications. Both are applied mathematics methods to solve complex problems. Both technologies have a wide range of applications.
These techniques are necessary for creating mathematical models of physical processes and phenomena, geophysical models of geological structures, etc. Optimization method operates with detailed mathematical models and Intelligence Computing methods can be used for estimating the parameters of models from the standpoint of probability theory (including variance or noise in the specific data values).
High-quality papers that address both theoretical and practical issues in the area of optimization and Intelligence Computing, and submissions that present new theoretical results, models and algorithms, as well as new applications, real world case study are welcome.
Submitted papers should satisfy the general requirements of the Mathematics journal, with a strong focus on new analytic or numerical methods for solving challenging problems.
Potential topics include, but are not limited to, applications of numerical and continuous optimization methods, mathematical models, optimization techniques, and machine learning algorithms in natural sciences; high-performance computing for mathematical modeling, stochastic optimization, fuzzy logic, artificial neural networks and evolutionary modeling.
Prof. Dr. Peter S. Martyshko
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- mathematical optimization methods
- artificial neural networks
- inverse problems
- mathematical modeling
- fuzzy logic
- stochastic optimization
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