GENETIC ALGORITHMS IN THE SOFT COMPUTING FRAMEWORK, APPLICATION IN COMPLEX CYBERNETIC SYSTEMS

被引：0
|
作者：
NEGOITA, MG [1 ]
ZIMMERMANN, HJ [1 ]
机构：
[1] EUROPEAN LAB INTELLIGENT TECHNIQUES ENGN,D-52056 AACHEN,GERMANY
来源：
CYBERNETICA | 1995年 / 38卷 / 01期
关键词：
SOFT-COMPUTING; EVOLUTIONARY COMPUTATION; GENETIC ALGORITHMS; FUZZY SYSTEMS; NEURAL NETWORKS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the first part of paper the concept and framework of soft-computing is introduced analyzing its emergence conditions, its main components and framework interactions. The second chapter underlines the contribution of evolutionary computations, especially of genetic algorithms to the soft-computing environment. The third chapter presents some original examples of typical soft-computing aggregation of intelligent technologies : both applications of genetic algorithms in neural networks and in fuzzy systems. Concluding remarks underline the real advantages of using genetic algorithms in solving concrete problems of complex cybernetic systems.
引用
收藏
页码：59 / 68
页数：10
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