.png){kind=icon}
返回
An Improved Football Team Training Algorithm for Global Optimization
.png){kind=icon}
OA
AI
DOI：10.3390/biomimetics9070419.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The football team training algorithm (FTTA) is a new metaheuristic algorithm that was proposed in 2024. The FTTA has better performance but faces challenges such as poor convergence accuracy and ease of falling into local optimality due to limitations such as referring too much to the optimal individual for updating and insufficient perturbation of the optimal agent. To address these concerns, this paper presents an improved football team training algorithm called IFTTA. To enhance the exploration ability in the collective training phase, this paper proposes the fitness distance-balanced collective training strategy. This enables the players to train more rationally in the collective training phase and balances the exploration and exploitation capabilities of the algorithm. To further perturb the optimal agent in FTTA, a non-monopoly extra training strategy is designed to enhance the ability to get rid of the local optimum. In addition, a population restart strategy is then designed to boost the convergence accuracy and population diversity of the algorithm. In this paper, we validate the performance of IFTTA and FTTA as well as six comparison algorithms in CEC2017 test suites. The experimental results show that IFTTA has strong optimization performance. Moreover, several engineering-constrained optimization problems confirm the potential of IFTTA to solve real-world optimization problems.
Keyword:
football team training algorithm
metaheuristic algorithms
fitness distance-balanced strategy
non-monopoly extra training strategy
population restart strategy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
B
IF:
3.9
论文数:
3.3K
被引数:
5.1K
机构
引用论文
Fick?s Law Algorithm: A physical law-based algorithm for numerical optimization菲克定律算法: 基于物理定律的数值优化算法
PREAI
分享收藏A Novel Method for Treatment of Abdominal Aortic Aneurysms Using Percutaneous Implantation of a Newly Designed Endovascular Device.png)
Circulation
CirculationIF0
PREAI
分享收藏Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms适应度-距离平衡 (FDB): 一种新的元启发式搜索算法选择方法
PREAI
分享收藏Dynamic fitness-distance balance-based artificial rabbits optimization algorithm to solve optimal power flow problem基于动态适应度-距离平衡的人工兔优化算法求解最优潮流问题
PREAI
分享收藏Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems阿基米德优化算法: 解决优化问题的一种新的元启发式算法APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
PREAI
分享收藏
查看更多内容