Qualitative-evolutionary design of greenhouse environment control agents

被引：11

作者：

Goggos, V ^{[1
]}

King, RE ^{[1
]}

机构：

[1] Univ Patras, Dept Elect & Comp Engn, GR-26110 Patras, Greece

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2000年 / 26卷 / 03期

关键词：

evolutionary computation; computational intelligence; hierarchical control; control agents; stochastic search; genetic algorithms; fuzzy inference;

D O I：

10.1016/S0168-1699(00)00080-6

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

A novel technique that fuses qualitative reasoning and evolutionary computation in the design of control agents for the control of the environment of a greenhouse is proposed in this paper. Linguistic rules relate the attributes of the greenhouse performance in response to perturbations in the desired set points to the suitability of the agent. De-fuzzification of the fuzzy suitability membership function yields a quantitative measure of the fitness of the agent to satisfy the system performance specifications. The fitness measure is used in a genetic algorithm that performs a stochastic search for the global optimum parameters of the agent. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：271 / 282

页数：12