A genetic algorithm for a fitting problem

被引：9

作者：

Agapie, A

Fagarasan, F

Stanciulescu, B

机构：

[1] Natl. Institute of Microtechnology, Dept. of Computational Intelligence, 72225 Bucharest

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1997年 / 389卷 / 1-2期

关键词：

D O I：

10.1016/S0168-9002(97)00093-4

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Genetic Algorithms are search algorithms based on mechanics of natural selection and natural genetics. They are computationally simple yet powerful in their search for improvement. In this paper we present a genetic approach to a fitting problem, as an alternative besides other well-known search procedures.

引用

页码：288 / 292

页数：5