Advances in Algorithms Through Heuristics: Theory, Applications, and Innovations
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 38
Special Issue Editor
Interests: applied mathematics; applied informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue dedicated to cutting-edge research and developments in the field of algorithms. This issue aims to gather high-quality contributions that explore novel algorithmic techniques, their theoretical foundations, and practical applications across diverse scientific and engineering domains.
This Special Issue welcomes original research articles, comprehensive reviews, and case studies focusing on, but not limited to:
- Metaheuristic and evolutionary algorithms, including genetic algorithms for optimization and problem-solving.
- Derivative-free iterative methods for solving nonlinear equations and root-finding problems.
- Algorithmic approaches in chemical and instrumental analysis, including applications in quantitative structure-activity relationships (QSAR) and compound similarity assessment.Statistical and experimental design algorithms, such as error analysis in randomized and Latin square designs.
- Algorithmic innovations in data analysis, machine learning, and computational biology.
- Applications of algorithms in materials science, energy storage systems, and medical informatics.
Authors are invited to submit manuscripts that present original and unpublished research. Submissions will undergo rigorous peer review to ensure high scientific standards.
We welcome research articles, communications, reviews, and technical notes. We look forward to your valuable contributions to this Special Issue, which promises to advance the understanding and application of algorithms in science and engineering.
Prof. Dr. Lorentz Jäntschi
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. 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
- heuristic algorithms
- metaheuristics
- algorithm design and analysis
- optimization algorithms
- swarm intelligence
- hybrid algorithms
- intelligent systems
- bio-inspired algorithms
- computational complexity
- admissible heuristics
- theoretical foundations
- algorithmic theory
- non-asymptotic analysis
- search optimization problems
- heuristic search hypothesis
- symbolic computation
- convergence analysis
- applications
- network optimization
- resource scheduling (cloud/edge computing)
- energy-efficient routing
- security in software-defined networking (SDN)
- machine learning and data mining
- computational biology and bioinformatics
- robotics and motion planning
- fraud detection and cybersecurity
- intelligent communication systems
- dynamic spectrum allocation
- real-time systems
- innovations and emerging topics
- particle swarm optimization
- hybrid and ensemble heuristic methods
- multi-objective optimization
- intelligent reflecting surfaces (IRS) deployment
- data-driven heuristics
- parallel and distributed heuristic algorithms
- adaptive and self-learning heuristics
- heuristic-based modeling and simulation
- general and cross-cutting themes
- applications of heuristic algorithms in science and engineering
- comparative studies of heuristic and classical algorithms
- guidelines for developing new heuristic techniques
- surveys of existing heuristic approaches
- implementation and scalability of heuristics
- performance evaluation and benchmarking
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