项目活动系统管理的遗传算法

2014 International Conference on Mathematics and Computers in Sciences and in Industry Pub Date : 2014-09-13 DOI:10.1109/MCSI.2014.46

M. Karova, I. Penev, Gergana Todorova, M. Todorova

{"title":"项目活动系统管理的遗传算法","authors":"M. Karova, I. Penev, Gergana Todorova, M. Todorova","doi":"10.1109/MCSI.2014.46","DOIUrl":null,"url":null,"abstract":"The paper presents a Genetic Algorithms technique, used to optimize project schedule created in Microsoft Project. The proposed model is called OPTPROJECT. The proposed application is simple and at the same time general enough for optimization of projects, where the high cost activities have to be performed last (at the end of the project). It can be used to manage both small and large projects.","PeriodicalId":202841,"journal":{"name":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Genetic Algorithm for Managing Project Activities System\",\"authors\":\"M. Karova, I. Penev, Gergana Todorova, M. Todorova\",\"doi\":\"10.1109/MCSI.2014.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a Genetic Algorithms technique, used to optimize project schedule created in Microsoft Project. The proposed model is called OPTPROJECT. The proposed application is simple and at the same time general enough for optimization of projects, where the high cost activities have to be performed last (at the end of the project). It can be used to manage both small and large projects.\",\"PeriodicalId\":202841,\"journal\":{\"name\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSI.2014.46\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2014.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文提出了一种遗传算法技术，用于优化在Microsoft project中创建的项目进度。提出的模型被称为OPTPROJECT。所建议的应用程序很简单，同时对于项目的优化来说足够通用，因为高成本的活动必须在最后执行(在项目结束时)。它可以用于管理小型和大型项目。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Genetic Algorithm for Managing Project Activities System

The paper presents a Genetic Algorithms technique, used to optimize project schedule created in Microsoft Project. The proposed model is called OPTPROJECT. The proposed application is simple and at the same time general enough for optimization of projects, where the high cost activities have to be performed last (at the end of the project). It can be used to manage both small and large projects.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 International Conference on Mathematics and Computers in Sciences and in Industry

自引率

0.00%

发文量