Research ArticleOpen AccessGoogle Scholar indexed
Multi-Knapsack Model of Collaborative Portfolio Configurations in Multi-Strategy Oriented
School of Management, Northwestern Polytechnical University, Xi’an, China
School of Management, Northwestern Polytechnical University, Xi’an, China
School of Management, Northwestern Polytechnical University, Xi’an, China
- 1 School of Management, Northwestern Polytechnical University, Xi’an, China
- 2 School of Management, Northwestern Polytechnical University, Xi’an, China
- 3 School of Management, Northwestern Polytechnical University, Xi’an, China
American Journal of Operations Research·Volume 05 (2015)·Pages 401–408·Published 24 July 2015·DOI10.4236/ajor.2015.55033
Copy link · social · email
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.
KeywordsMulti Knapsack ModelMulti StrategyCollaborative PortfolioEvolutionary Algorithm
- Su, L.Y. (2008) The Implementation of Enterprise Diversification Management and Project Management. Inner Mongolia Science Technology and Economy, 14, 278-281.
- 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.
- Shen, J. (2009) Analysis on Synergy Effects in Diversification Strategy of Enterprises. Economy and Management, 23, 49-54.
- Shi, Y.H. (2005) The Empirical Analysis on the Diversified Profession Selection. SCI/TECH Information Development and Economy, 17, 76-79.
- 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.
- 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.
- 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.
- Zhang, T.N. and Zeng, Q.C. (2003) Business Reengineering and Synergetic Development. Management Sciences in China, 16, 21-24.
- Zhang, X.F. (2011) The Development of HUBER+SUHNER in China. Intelligent Building and City Information, 8, 104-105.