Abstract
Based on cultural algorithm and classical particle swarm optimization (PSO) algorithm, a cultural particle swarm optimization (CPSO) algorithm is proposed. In the improved algorithm, double evolutionary mechanisms are used. The population space and the belief space of cultural algorithm are redesigned. The proposed model was used to solve the partner selection problem of virtual enterprise. In a virtual enterprise, the whole task can be accomplished by the cooperation among those candidate partners. The optimal objective is to minimize the total cost and completing time. Finally, the performance of the algorithm is evaluated by simulations. Results demonstrate the feasibility and efficiency of the proposed algorithm.
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.
