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LI Huimin,WANG Zhuofu 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
Optimization of real estate portfolio is to select two or more different types of real estate for investment, and the previous models based on expected return-variance cannot meet the needs of the investor’s Furthermore, the investor changes their risk preference with the risk level. In this study, firstly, the semi-variance real estate investment portfolio model with the risk preference coefficient is constructed. The return per unit of risk is the key factor to affect an investment decision. Secondly, a self-adaptive ant colony optimization (SACO) with changing parameters based on mean information entropy of the ant system ha been employed to solve the constructed model, which overcomes the intrinsic weakness of premature of the basic ant colony optimization (ACO) and selection parameters. Finally, a real-world case study is carried out to verify the performance of SACO, and indicates that SACO can generate better sollution than GA. The SACO can be regarded as a useful approach for solving real estate portfolio problem.
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An Xiaowei,Li Huimin,Omoleye Ojuri,Wang Zhuofu,Ding Jiyong 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.7
Design optimization is an effective strategy to reduce construction project costs. This study focuses on the benefit of designoptimization, which should be allocated to the designer. Furthermore, the distribution ratio can be determined through negotiation. Inline with this view, this paper initially analyzed the benefits of engineering design optimization and the basic mechanism of itsdistribution. Second, we established the negotiation model of design optimization profit distribution by considering the fairnessconcern behavior of subjects. Finally, we set up the following three experimental scenarios: the designer solely has fairness concernbehavior, the owner exclusively has fairness concern behavior, and both negotiators have fairness concern behavior. From theengineering projects perspectives, we further analyzed the effects of the fairness concerns of both negotiators in terms of engineeringdesign optimization and negotiation performance using negotiation simulation experiments. Our experimental scenarios results showthat the appropriate behavior of fairness concerns by the two negotiators is valuable in improving their own advantages. However,excessive attention to the behaviors of fairness concerns by the two negotiators may lead to an increase in the negotiation cycle,which is not beneficial in attaining optimization. This study aims to provide references for the construction project management.
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