A comprehensive review of automatic programming methods

被引:0
|
作者
Arslan, Sibel [1 ]
Ozturk, Celal [2 ]
机构
[1] Sivas Cumhuriyet Univ, Dept Software Engn, TR-58140 Sivas, Turkiye
[2] Erciyes Univ, Dept Software Engn, TR-38280 Kayseri, Turkiye
关键词
Artificial intelligence; Evolutionary computation; Automatic programming; Genetic programming; SYMBOLIC REGRESSION; ALGORITHM; DESIGN; CLASSIFICATION; EVOLUTION; SELECTION;
D O I
10.1016/j.asoc.2023.110427
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automatic programming (AP) is one of the most attractive branches of artificial intelligence because it provides effective solutions to problems with limited knowledge in many different application areas. AP methods can be used to determine the effects of a system's inputs on its outputs. Although there is increasing interest in solving many problems using these methods for a variety of applications, there is a lack of reviews that address the methods. Therefore, the goal of this paper is to provide a comprehensive literature review of AP methods. At the same time, we mention the main characteristics of the methods by grouping them according to how they represent solutions. We also try to give an outlook on the future of the field by highlighting possible bottlenecks and perspectives for the benefit of the researchers involved.& COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:19
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