摘要
现代企业立体结盟网络的形成促使大型项目的盟友选择从独立性企业向组合性企业方式转化.在分析了多个子项目的优化目标及对应的投标企业核心能力的基础上,结合博弈思想,建立了组合性盟友企业选择的非线性整数规划模型,应用演化博弈算法进行求解.同时将设计的方法与遗传算法在多个不同规模仿真实例上进行了对比分析,研究结果表明该方法在处理规模较大的伙伴选择问题上在计算速度和达优率两方面具有一定的优势.
The forming of modem enterprise alliance solid network is changing the partner selection in great project from independent enterprises to combined enterprises. Based on analyzing the optimization objective of subprojects and the core competence of the tender enterprise, a nonlinear integer-programming model of combined panner enterprises＇ partner selection was developed and an evolutionary game algorithm was designed to solve the problem. A case study was carried out to compare the proposed algorithm with genetic algorithm in the simulations of different scales. The results suggested that the proposed method was advantageous in both running time and performance, in partner selection of enterprise alliance of large scale.
出处
《海南师范大学学报（自然科学版）》
CAS
2008年第4期478-480,共3页
Journal of Hainan Normal University（Natural Science）
基金
辽宁省自然科学基金项目(20042029)
沈阳市重点支持项目(1022036-1-08)
关键词
企业结盟
招投标
演化博弈
纳什均衡
enterprises alliance
bidding
evolutionary game
Nash equilibrium
