基于模拟植物生长算法的协作研发网络决策优化模型

运筹与管理 ›› 2014, Vol. 23 ›› Issue (4): 96-101.

基于模拟植物生长算法的协作研发网络决策优化模型

周青^1,2, 李彤¹, 毛崇峰³, 杨伟¹

1.杭州电子科技大学管理学院,浙江杭州 310018;
2.北京工业大学经济与管理学院,北京 100022;
3.中南大学商学院,湖南长沙 410083

收稿日期:2012-06-30 出版日期:2014-04-25
作者简介:周青(1979-),男,湖南株洲人,教授,博士后,研究方向为技术创新管理;李彤(1967-),男,黑龙江哈尔滨人,教授,博士后,研究方向为决策优化;毛崇峰(1980-),女,浙江宁波人,博士研究生,研究方向为技术创新管理;杨伟(1978-),男,甘肃张掖人,副教授,博士,研究方向为创新管理。
基金资助:
国家自然科学基金资助项目(71173066,71203052);教育部新世纪优秀人才支持计划资助项目(NCET-12-1081);浙江省高校人文社科重点研究基地资助项目(ZD02-2013ZB)中国博士后科学基金资助项目(2013MS40032)

The Optimal Model of Cooperative R&D Network Decision Based on PGSA

ZHOU Qing^1,2, LI Tong¹, MAO Chong-Feng³, YANG Wei¹

1. School of Management, Hangzhou Dianzi University, Hangzhou 310018, China;
2. School of Economics and Management, Beijing University of Technology, Beijing 100022, China;
3. School of Business, Central South University, Changsha 410083, China

Received:2012-06-30 Online:2014-04-25

摘要/Abstract

摘要： 在协作研发网络决策中,合理的投资组合可使企业获得理想的收益。企业协作研发网络的投资组合是多方博弈后的结果,利用模拟植物生长算法构建的优化模型可以分析企业在网络中投资组合的博弈过程。通过模拟植物生长算法计算得到的全局最优解和局部最优解是企业协作研发决策投资组合的最优决策集。企业可以根据策略集调整自身的投资方式,制定最优的决策方案。

关键词: 技术经济及管理, 决策优化模型, 模拟植物生长算法, 协作研发, 博弈

Abstract: Among decisions of cooperative R&D network, firms can obtain ideal benefit through making reasonable investment portfolio. Firm's investment portfolio is the result of multiple game. This paper uses plant growth simulation algorithm(PGSA)to analyse firms' investment portfolio game process among cooperative R&D network. The global optimal solution and local optimal solution calculated through PGSA are the ideal investment portfolio decision set. Firms can make optimal decision methods according to the investment portfolio decision set.

Key words: technology economy and management, decision optimal model, PGSA, cooperative R&D, game

中图分类号:

周青, 李彤, 毛崇峰, 杨伟. 基于模拟植物生长算法的协作研发网络决策优化模型[J]. 运筹与管理, 2014, 23(4): 96-101.

ZHOU Qing, LI Tong, MAO Chong-Feng, YANG Wei. The Optimal Model of Cooperative R&D Network Decision Based on PGSA[J]. Operations Research and Management Science, 2014, 23(4): 96-101.

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