Symmetry and Metaheuristic Algorithms

Dear Colleague,

Metaheuristic algorithms have emerged as powerful and versatile tools in the field of optimization, addressing the increasing complexity of problems that traditional methods struggle to efficiently solve. These algorithms are designed to explore and exploit the search space in innovative ways to find optimal or near-optimal solutions. They offer practical and effective approaches for tackling optimization challenges across a myriad of domains, from engineering and logistics to healthcare and artificial intelligence. The growing need for these methods is evidence of their adaptability and effectiveness for solving complex real-world problems. In recent years, the application of metaheuristic algorithms has increased, underscoring their significance and versatility in various scientific areas.

"Symmetry and Metaheuristic Algorithms" is a field of study that explores the relationship between symmetry and the design and optimization of metaheuristic algorithms. Metaheuristic algorithms are approximate solution methods used for optimization problems that cannot be easily solved using traditional optimization techniques. Researchers in this field investigate how symmetry properties in optimization problems can be utilized or preserved to enhance the performance of metaheuristic algorithms. By leveraging symmetry, researchers aim to develop more effective and efficient algorithms for solving complex optimization problems.

We invite scientists and practitioners from around the globe to contribute high-quality papers to a Special Issue titled "Symmetry and Metaheuristic Algorithms". The objective is to capture a comprehensive snapshot of the current advancements and a wide array of applications of metaheuristic algorithms. We seek submissions that not only push the boundaries of algorithmic design, but also demonstrate the practical implications and innovations driven by these methods in diverse scientific and engineering fields. Through this Special Issue, we aim to highlight the latest state-of-the-art developments and foster a deeper understanding of the potential and future directions of metaheuristic algorithms and their significant impact on solving the complex optimization problems of today and tomorrow.

This Special Issue includes (but are not limited to) the following topics:

• Symmetry-based optimization;
• The improvement in traditional metaheuristic algorithms (pso, sa, de, etc.) using new mechanisms;
• New metaheuristic algorithms;
• Hybridization of metaheuristic methods;
• Multi-objective optimization;
• Theoretical insights into metaheuristic algorithms;
• Metaheuristics in artificial intelligence and machine learning;
• Metaheuristics for image processing;
• Metaheuristic applications in healthcare and biomedical engineering;
• Emerging trends and future directions in metaheuristic research.

Dr. Erik V. Cuevas
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. Symmetry 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.

• symmetry-based optimization
• the improvement in traditional metaheuristic algorithms (pso, sa, de, etc.) using new mechanisms
• new metaheuristic algorithms
• hybridization of metaheuristic methods
• multi-objective optimization
• theoretical insights into metaheuristic algorithms
• metaheuristics in artificial intelligence and machine learning
• metaheuristics for image processing
• metaheuristic applications in healthcare and biomedical engineering
• emerging trends and future directions in metaheuristic research