首页 | 官方网站   微博 | 高级检索  
     

多目标遗传算法及在过程优化综合中的应用
引用本文:岳金彩,郑世清,韩方煜.多目标遗传算法及在过程优化综合中的应用[J].计算机与应用化学,2006,23(8):748-752.
作者姓名:岳金彩  郑世清  韩方煜
作者单位:1. 华南理工大学化工与能源学院,广东,广州,510640;青岛科技大学计算机与化工研究所,山东,青岛,266042
2. 青岛科技大学计算机与化工研究所,山东,青岛,266042
摘    要:化工过程的多目标优化综合问题可归结为多目标混合整数非线性规划(MOMINLP)模型的求解,求解方法主要有数学规划法和多目标进化算法。以多目标遗传算法(MOGA)为代表的进化算法被认为是特别适合求解此类问题。遗传算法大多用于单目标问题的优化,近十几年来将遗传算法应用到多目标优化的研究得到了很大的发展。本文对多目标遗传算法的一些重要概念、发展历程进行了回顾。针对化工过程的模型特点,对MOGA在过程综合中的应用研究进行了讨论,并认为混合遗传算法应是求解此类问题的有效算法。

关 键 词:多目标优化  MOGA  过程综合  混合算法
文章编号:1001-4160(2006)08-748-752
收稿时间:2005-01-28
修稿时间:2005-01-282006-05-23

Multiobjective genetic algorithms and its application in process synthesis
Yue Jincai,Zheng Shiqing,Han Fangyu.Multiobjective genetic algorithms and its application in process synthesis[J].Computers and Applied Chemistry,2006,23(8):748-752.
Authors:Yue Jincai  Zheng Shiqing  Han Fangyu
Affiliation:1. College of Chemical Engineering and Energy, South China University of Technology, Guangzhou, 510640, Guangdong, China; 2. Research Center for Computer and Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, Shandong, China
Abstract:Muhiobjective process synthesis can be formulated as a muhiobjective mixed integer nonlinear programming(MOMINLP) problem.Mathematical program and mutiobjective genetic algorithm(MOGA)are often used to solve this problem.MOGA is regarded as a prospective method.GA is often used to optimize single objective problem.In the past decade the study of GA on multiobjective optimization has been developed rapidly.In this paper,some important concepts of MOGA are discussed and the development of MOGA is reviewed.The research direction of MOGA used in chemical engineering synthesis is discussed and hybrid MOGA is regarded as a efficient strategy.
Keywords:multiobjective optimization  MOGA  process synthesis  hybrid algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号