EMPIRICAL STUDY OF SELF-CONFIGURING GENETIC PROGRAMMING ALGORITHM PERFORMANCE AND BEHAVIOUR

被引：2
|
作者：
Semenkin, E. [1 ]
Semenkina, M. [1 ]
机构：
[1] Siberian State Aerosp Univ, Krasnoyarsk 660014, Russia
来源：
XVII INTERNATIONAL SCIENTIFIC CONFERENCE RESHETNEV READINGS | 2015年 / 70卷
关键词：
D O I：
10.1088/1757-899X/70/1/012004
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The behaviour of the self-configuring genetic programming algorithm with a modified uniform crossover operator that implements a selective pressure on the recombination stage, is studied over symbolic programming problems. The operator's probabilistic rates interplay is studied and the role of operator variants on algorithm performance is investigated. Algorithm modifications based on the results of investigations are suggested. The performance improvement of the algorithm is demonstrated by the comparative analysis of suggested algorithms on the benchmark and real world problems.
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页数：13
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