Harmonic oscillator based particle swarm optimization
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Dátum
2025
Názov časopisu
ISSN časopisu
Názov zväzku
Vydavateľ
Public Library of Science : San Francisco
ISBN
ISSN
1932-6203
Abstrakt
Numerical optimization techniques are widely applied across various fields of science and technology, ranging from determining the minimal energy of systems in physics and chemistry to identifying optimal routes in logistics or strategies for high-speed trading. Here, we present a novel method that integrates particle swarm optimization (PSO), a highly effective and widely used algorithm inspired by the collective behavior of bird flocks searching for food, with the physical principle of conserving energy and damping in harmonic oscillators. This physics-based approach allows smoother convergence throughout the optimization process and wider tunability options. We evaluated our method on a standard set of test functions and demonstrated that, in most cases, it outperforms its natural competitors, including the original PSO, as well as commonly used optimization methods such as COBYLA and Differential Evolution.
Popis
In: PLoS One. San Francisco : Public Library of Science, 2025. ISSN 1932-6203. Vol. 20, no. 6 (2025), pp. [1-26].
Kľúčové slová
fyzika, physics, numerické metódy, numerical methods, optimalizácia, optimization, matematika, mathematics, algoritmy, algorithms, modelovanie, modeling
Výstup z projektu
VEGA 2/0055/23 Efektívne algoritmy pre kvantové počítanie v ére NISQ
Plán obnovy a odolnosti SR 09I03-03-V04-00425 Efektívne algoritmy pre kvantové počítače v ére NISQ
Plán obnovy a odolnosti SR 09I03-03-V04-00685
Citácia
Práva a licenčné podmienky
CC BY Creative Commons Attribution 4.0. International
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess