Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization. (20th October 2021)
- Record Type:
- Journal Article
- Title:
- Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization. (20th October 2021)
- Main Title:
- Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization
- Authors:
- Xie, Lei
Han, Tong
Zhou, Huan
Zhang, Zhuo-Ran
Han, Bo
Tang, Andi - Other Names:
- Khalil Ahmed Mostafa Academic Editor.
- Abstract:
- Abstract : 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 parabolic foraging, for developing an effective metaheuristic algorithm. The performance of TSO is evaluated by comparison with other metaheuristics on a set of benchmark functions and several real engineering problems. Sensitivity, scalability, robustness, and convergence analyses were used and combined with the Wilcoxon rank-sum test and Friedman test. The simulation results show that TSO performs better compared to other comparative algorithms.
- Is Part Of:
- Computational intelligence and neuroscience. Volume 2021(2021)
- Journal:
- Computational intelligence and neuroscience
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-20
- Subjects:
- Neurosciences -- Data processing -- Periodicals
Computational intelligence -- Periodicals
Computational neuroscience -- Periodicals
612.80285 - Journal URLs:
- https://www.hindawi.com/journals/cin/ ↗
- DOI:
- 10.1155/2021/9210050 ↗
- Languages:
- English
- ISSNs:
- 1687-5265
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 20080.xml