Multi-Knapsack Model of Collaborative Portfolio Configurations in Multi-Strategy Oriented

DOI: 10.4236/ajor.2015.55033   PDF   HTML   XML   1,882 Downloads   2,231 Views  

Abstract

Aiming at constructing the multi-knapsack model of collaborative portfolio configurations in multi-strategy oriented, the hybrid evolutionary algorithm was designed based on greedy method, combining with the organization of the multiple strategical guidance and multi-knapsack model. Furthermore, the organizing resource utility and risk management of portfolio were considered. The experiments were conducted on three main technological markets which contain communication, transportation and industry. The results demonstrated that the proposed model and algorithm were feasible and reliable.

Share and Cite:

Luo, S. , Bai, S. and Li, S. (2015) Multi-Knapsack Model of Collaborative Portfolio Configurations in Multi-Strategy Oriented. American Journal of Operations Research, 5, 401-408. doi: 10.4236/ajor.2015.55033.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Su, L.Y. (2008) The Implementation of Enterprise Diversification Management and Project Management. Inner Mongolia Science Technology and Economy, 14, 278-281.
[2] Li, S.K., Bai, S.J., Guo, Y.T. and Wang, X.B. (2014) A Study on Distributed Collaborative Model of Model Development Based on Logistics. Industrial Engineering Journal, 17, 50-54.
[3] Shen, J. (2009) Analysis on Synergy Effects in Diversification Strategy of Enterprises. Economy and Management, 23, 49-54.
[4] Shi, Y.H. (2005) The Empirical Analysis on the Diversified Profession Selection. SCI/TECH Information Development and Economy, 17, 76-79.
[5] Song, H.S., Fu, R.Y., Xu, R.S. and Song, H.Z. (2009) Hybrid Genetic Algorithm for Multi-Knap Sack Problem. Computer Engineering and Applications, 45, 45-48.
[6] Shi, L., Zhang, Y.H. and Lv, J.H. (2013) Optimization Algorithm of 0-1 Knapsack Problem Based on Absolute greedy and Expected Efficiency. Application Research of Computers, 11, 1-5.
[7] Li, Z.Y., Ma, L. and Zhang, H.Z. (2013) Application of Bat Algorithm in Multi-Objective and Multi-Choice Knapsack Problem. The Computer Simulation, 30, 350-354.
[8] Zhang, T.N. and Zeng, Q.C. (2003) Business Reengineering and Synergetic Development. Management Sciences in China, 16, 21-24.
[9] Zhang, X.F. (2011) The Development of HUBER+SUHNER in China. Intelligent Building and City Information, 8, 104-105.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.