Abstract
This paper presents a new fuzzy chance-constrained programming model to find the Pareto solution set for multiproject and multi-item investment combination based on the perspective of real options. The proposed 0-1 integer programming model has two objectives subject to fuzzy cash supply chain constraint conditions, and the escalating GA will be employed to solve the above optimization model with a small modification of constraint handling. A simulation experiment illustrating the application of the proposed model will be presented and Pareto-optimal solutions will be obtained. A comparison shows that EMGA has some advantages over the classical GA.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
