Cargando…
Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization
In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm. The work mimics two foraging behaviors of tuna swarm, including spiral foraging and parabol...
Autores principales: | Xie, Lei, Han, Tong, Zhou, Huan, Zhang, Zhuo-Ran, Han, Bo, Tang, Andi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550856/ https://www.ncbi.nlm.nih.gov/pubmed/34721567 http://dx.doi.org/10.1155/2021/9210050 |
Ejemplares similares
-
A Novel Particle Swarm Optimization Algorithm for Global Optimization
por: Wang, Chun-Feng, et al.
Publicado: (2016) -
Subtraction-Average-Based Optimizer: A New Swarm-Inspired Metaheuristic Algorithm for Solving Optimization Problems
por: Trojovský, Pavel, et al.
Publicado: (2023) -
Pair barracuda swarm optimization algorithm: a natural-inspired metaheuristic method for high dimensional optimization problems
por: Guo, Jia, et al.
Publicado: (2023) -
Vibration-Based Damage Detection Using Finite Element Modeling and the Metaheuristic Particle Swarm Optimization Algorithm
por: Zacharakis, Ilias, et al.
Publicado: (2022) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017)