Algorithms for Real-World Complex Engineering Optimization Problems
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 2313
Special Issue Editors
Interests: artificial intelligence; bio-inspired computation; evolutionary computation; neural networks; computational arts; computer music
Special Issues, Collections and Topics in MDPI journals
Interests: single-objective algorithms; multi-objective algorithms; many-objective algorithms; robust optimization; artificial intelligence; machine learning; smart grid and microgrid; power and energy systems; solar photovoltaic systems
Special Issue Information
Dear Colleagues,
With the continuous development of computational power, researchers have recently had the chance to investigate engineering problems more precisely, in greater depth, while considering numerous uncertainties and constraints. Incorporating diverse limitations and increasing the number of variables in various engineering challenges necessitates more sophisticated problem-solving methodologies. Numerous implementations have proved that evolutionary and metaheuristic optimization algorithms are valuable tools for contemporary researchers and engineers.
Optimization algorithms are a higher-level tool that may help to solve any technical challenge in a definite and constructive way. Optimization algorithms can be used if an engineering problem can be quantified, properly defined, and algorithmically expressed. Handling real-world problems typically necessitates bringing together various disciplines during the optimization procedure. Advancements in evolutionary and metaheuristic optimization algorithms research continue to push the boundaries of application practicality, improving the accuracy and efficiency of optimization algorithms.
The primary objective of this Special Issue is to compile a comprehensive collection of cutting-edge research findings in science and engineering on optimization theory, methods, and applications. It also intends to bring together research that uses optimization algorithms to solve complex real-world engineering problems, evaluates their advantages and shortcomings, makes required adjustments to existing approaches, and introduces new algorithms. Original research and review contributions that use evolutionary and metaheuristic optimization algorithms to solve complex and large-scale engineering problems are invited.
Potential topics include but are not limited to the following:
- Evolutionary optimization algorithms and variants;
- Metaheuristic optimization algorithms and variants;
- Single- and multi-objective optimization algorithms;
- Many-objective optimization algorithms;
- Constrained and unconstrained problems;
- Artificial intelligence and machine learning;
- Shape optimization algorithms;
- Inverse optimization algorithms;;
- Robust optimization algorithms;
- Stochastic optimization algorithms;
- Discrete and combinatorial optimization algorithms;
- Application of algorithms in various real-world engineering problems.
Dr. Colin Johnson
Dr. M. Premkumar
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 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
- artificial intelligence
- machine learning
- optimization algorithms
- real-world problems
- smart city
- smart systems
