中文版 | English
题名

Speed and Quality of Optimization Algorithms

作者
通讯作者He,Zhicheng
DOI
发表日期
2021
ISBN
978-1-6654-3758-5
会议录名称
页码
1155-1160
会议日期
27-29 Dec. 2021
会议地点
Sanya, China
摘要
Optimization problems are crucial in artificial intelligence. Optimization algorithms are generally used to adjust the performance of artificial intelligence models to minimize the error of mapping inputs to outputs. Current evaluation methods on optimization algorithms generally consider the performance in terms of quality. However, not all optimization algorithms for all test cases are evaluated equal from quality, the computation speed should be also considered for optimization tasks. In this paper, we investigate the quality and speed of optimization algorithms in optimization problems, instead of the one-for-all evaluation of quality. We select the well-known optimization algorithms (Bayesian optimization and evolutionary algorithms) and evaluate them on the benchmark test functions in terms of quality and speed. The results show that BO is suitable to be applied in the optimization tasks that are needed to obtain desired quality in the limited function evaluations, and the EAs are suitable to search the optimal of the tasks that are allowed to find the optimal solution with enough function evaluations. This paper provides the recommendation to select suitable optimization algorithms for optimization problems with different numbers of function evaluations, which contributes to the efficiency that obtains the desired quality with faster speed for optimization problems.
关键词
学校署名
第一 ; 通讯
语种
英语
相关链接[Scopus记录]
收录类别
EI入藏号
20221712027297
EI主题词
Artificial intelligence ; Benchmarking ; Calculations ; Evolutionary algorithms ; Function evaluation ; Quality control ; Speed
EI分类号
Artificial Intelligence:723.4 ; Quality Assurance and Control:913.3 ; Mathematics:921 ; Optimization Techniques:921.5 ; Numerical Methods:921.6
Scopus记录号
2-s2.0-85128609839
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9742108
引用统计
被引频次[WOS]:0
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/333640
专题工学院_计算机科学与工程系
作者单位
Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China
第一作者单位计算机科学与工程系
通讯作者单位计算机科学与工程系
第一作者的第一单位计算机科学与工程系
推荐引用方式
GB/T 7714
He,Zhicheng. Speed and Quality of Optimization Algorithms[C],2021:1155-1160.
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