Asset Details
Do you wish to reserve the book?
A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for Solving Agent-Based Epidemiological Model
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for Solving Agent-Based Epidemiological Model
Do you wish to request the book?
A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for Solving Agent-Based Epidemiological Model
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for Solving Agent-Based Epidemiological Model
2025
Overview
This paper presents a new agent-based epidemiological model, which is solved using the proposed Hybrid Multi-Swarm Particle Swarm Optimization Algorithm (HMSPSO Algorithm). The HMSPSO is based on a combination of a parallel multi-swarm particle swarm optimization algorithm and real-coded genetic operators, including crossover and mutation. Unlike other well-known particle swarm optimization algorithms, this method uses alternating real-coded heuristic operators applied to parent solutions selected from sub-swarms obtained through agglomerative clustering. The performance of the HMSPSO Algorithm was compared to that of other established single-objective evolutionary algorithms, and the results show that the HMSPSO achieves the best performance in terms of both time efficiency and accuracy. HMSPSO was combined with the developed agent-based epidemiological model. As a result, optimal strategies for anti-epidemic measures such as vaccination intensity, self-quarantine intensity, and other parameters were calculated to maximize the share of surviving individuals.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
