Special Issue: Swarm intelligence to solve complex optimization problems

Guest Editor

Prof. María-Luisa Pérez-Delgado
Department of Computer Science and Automation, University of Salamanca, Spain
Email: mlperez@usal.es

Manuscript Topics


Swarm-based algorithms constitute a field of artificial intelligence that has obtained good results in its application to multiple real-world problems. These algorithms are inspired by the collective behavior observed in various groups of animals that allow them to face problems that they could not solve individually. These methods have been applied to solve complex optimization problems, generating very satisfactory results. There are many variants that have been proposed over the years, each one based on a specific mathematical model. However, sometimes a sufficiently detailed description of this mathematical model is not given, which can limit the interest of the proposed method, in addition to preventing other researchers from reproducing the results. Therefore, it is interesting not only the application of swarm-based algorithms to complex problems, but also the correct formulation of the proposed solution.


The goal of this special issue is to provide a platform for researchers to disseminate original, high-quality research on recent applications of swarm intelligence to solve complex problems, with special attention to the mathematical formulation of solutions.
Potential topics include, but are not limited to:


- swarm-based methods applied to real-world problems
- new swarm-based methods with improved qualities
- analysis of the mathematical models underlying swarm algorithms
- comparisons of the efficiency of swarm algorithms with traditional methods applied to optimization problems


As the journal focuses on mathematics, what I intend to indicate is that it would be interesting to publish articles in which swarm algorithms are applied to solve complex optimization problems, but making clear the importance of correctly defining the operations of the algorithm from a mathematical point of view. That is, all the equations necessary to apply the algorithm should be indicated, correct notation should be used, valid ranges specified for each variable, Although it is surprising, these aspects are not taken into account in some articles and many authors simply ‘copy’ the description of the algorithm made by the person who proposed it, without describing details that are necessary to write a program that applies the algorithm.


Another aspect in which a mathematical journal can contribute is in the analysis of why a method works. That is, many authors propose a new method with a set of associated equations, but they do not justify the usefulness of these equations to reach a good solution to the problem.


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Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2024

Published Papers(6)

Research article
Enhancing curve smoothness with whale optimization algorithm in positivity and monotonicity-preserving interpolation
Salwa Syazwani Mahzir Md Yushalify Misro
2025, Volume 10, Issue 3: 6910-6933. doi: 10.3934/math.2025316
Abstract HTML PDF Viewed (73)
Research article
Hybrid B-spline collocation method with particle swarm optimization for solving linear differential problems
Seherish Naz Khalid Ali Khan Md Yushalify Misro
2025, Volume 10, Issue 3: 5399-5420. doi: 10.3934/math.2025249
Abstract HTML PDF Viewed (177)
Research article
Modified artificial fish swarm algorithm to solve unrelated parallel machine scheduling problem under fuzzy environment
Azhar Mahdi Ibadi Rosshairy Abd Rahman
2024, Volume 9, Issue 12: 35326-35354. doi: 10.3934/math.20241679
Abstract HTML PDF Viewed (553)
Research article
L0-Norm based Image Pansharpening by using population-based algorithms
Mehmet Akif Günen María-Luisa Pérez-Delgado Erkan Beşdok
2024, Volume 9, Issue 11: 32578-32628. doi: 10.3934/math.20241561
Abstract HTML PDF Viewed (553)
Research article
Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
Nur 'Afifah Rusdi Nur Ezlin Zamri Mohd Shareduwan Mohd Kasihmuddin Nurul Atiqah Romli Gaeithry Manoharam Suad Abdeen Mohd. Asyraf Mansor
2024, Volume 9, Issue 11: 29820-29882. doi: 10.3934/math.20241444
Abstract HTML PDF Viewed (720)
Research article
Mathematical modeling of a Hybrid Mutated Tunicate Swarm Algorithm for Feature Selection and Global Optimization
Turki Althaqafi
2024, Volume 9, Issue 9: 24336-24358. doi: 10.3934/math.20241184
Abstract HTML PDF Cited (1) Viewed (974)