GA-BHTR for Partner Selection Problem

In this chapter, GA-BHTR (genetic algorithm maintained by using binary heap and transitive reduction) [1] for addressing partner selection problem (PSP) in a virtual enterprise [2] is introduced. Based on ordinary initialization, an improved binary heap strategy is configured before it with uniform population input and output to realize initialization improvement. It is designed to simplify the directed acrylic graph that represents the precedence relationship among the subprojects in PSP and enhance the searching diversity of the algorithm. Then, in order to avoid solutions from converging to a constant value early during evolution, multiple communities are used instead of a single community in GA-BHTR. Operators are configured in different communities independently. Communication among communities is executed by periodic interchange.

[1]  Sheng-Lin Chang,et al.  Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle , 2006 .

[2]  Sheu Hua Chen,et al.  Applying ANP approach to partner selection for strategic alliance , 2008 .

[3]  Manoj Kumar Tiwari,et al.  Global supplier selection: a fuzzy-AHP approach , 2008 .

[4]  Fei Ye,et al.  Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information , 2009, Expert Syst. Appl..

[5]  José António Crispim,et al.  Partner selection in virtual enterprises: a multi-criteria decision support approach , 2009 .

[6]  Andrew Y. C. Nee,et al.  An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises , 2012 .

[7]  Hendrik Jähn,et al.  Optimizing the selection of partners in production networks , 2004 .

[8]  Wei-Chang Yeh,et al.  Using multi-objective genetic algorithm for partner selection in green supply chain problems , 2011, Expert Syst. Appl..

[9]  Fei Tao,et al.  Correlation-aware resource service composition and optimal-selection in manufacturing grid , 2010, Eur. J. Oper. Res..

[10]  Gin-Shuh Liang,et al.  Using fuzzy MCDM to select partners of strategic alliances for liner shipping , 2005, Inf. Sci..

[11]  Naiqi Wu,et al.  Selection of partners in virtual enterprise paradigm , 2005 .

[12]  Fei Ye,et al.  An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection , 2010, Expert Syst. Appl..

[13]  S. H. Ghodsypour,et al.  Fuzzy multiobjective linear model for supplier selection in a supply chain , 2006 .

[14]  Andrew Y. C. Nee,et al.  A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise , 2010 .

[15]  Wenxing Zhu,et al.  Partner selection with a due date constraint in virtual enterprises , 2006, Appl. Math. Comput..

[16]  Zhi-Ping Fan,et al.  A method for partner selection of codevelopment alliances using individual and collaborative utilities , 2010 .

[17]  Hyuck M. Kwon,et al.  General Auction-Theoretic Strategies for Distributed Partner Selection in Cooperative Wireless Networks , 2010, IEEE Transactions on Communications.

[18]  Cornelia Dröge,et al.  Collaborating for new product development: Selecting the partner with maximum potential to create value , 2006 .

[19]  Reza Farzipoor Saen,et al.  Suppliers selection in the presence of both cardinal and ordinal data , 2007, Eur. J. Oper. Res..

[20]  Robin Cowan,et al.  Network-Independent Partner Selection and the Evolution of Innovation Networks , 2009, Manag. Sci..

[21]  Zhongjie Wang,et al.  Genetic algorithm for collaboration cost optimization-oriented partner selection in virtual enterprises , 2009 .

[22]  Carlos Frederico Bremer,et al.  From an Opportunity Identification to its Manufacturing: a Reference Model for Virtual Enterprises , 2000 .

[23]  Ian Deans,et al.  An approach to the environmental management of purchasing in the utilities sector , 1999 .

[24]  Gwo-Hshiung Tzeng,et al.  A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry , 2011, Appl. Soft Comput..

[25]  Andreas C. Georgiou,et al.  A goal programming model for partner selection decisions in international joint ventures , 2002, Eur. J. Oper. Res..

[26]  Lin Lv,et al.  Green partner selection in virtual enterprise based on Pareto genetic algorithms , 2012, The International Journal of Advanced Manufacturing Technology.

[27]  S. Engin Kilic,et al.  Ahp model for the selection of partner companies in virtual enterprises , 2008 .

[28]  Dingwei Wang,et al.  A branch and bound algorithm for sub-contractor selection in agile manufacturing environment , 2004 .

[29]  Anikó Ekárt,et al.  Genetic algorithms in computer aided design , 2003, Comput. Aided Des..

[30]  Jih-Jeng Huang,et al.  A multiobjective programming model for partner selection-perspectives of objective synergies and resource allocations , 2010, Expert Syst. Appl..

[31]  Wei Zhou,et al.  A Discrete PSO Algorithm for Partner Selection of Virtual Enterprise , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[32]  Yoke San Wong,et al.  A two-stage manufacturing partner selection framework for virtual enterprises , 2004, Int. J. Comput. Integr. Manuf..

[33]  Tien-Chin Wang,et al.  Applying consistent fuzzy preference relations to partnership selection , 2007 .

[34]  Reinaldo Morabito,et al.  Multi-population genetic algorithm to solve the synchronized and integrated two-level lot sizing and scheduling problem , 2009 .

[35]  Bimal Nepal,et al.  An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation , 2008 .

[36]  Ana Paula Rocha,et al.  An Electronic Market Architecture for the Formation of Virtual Enterprises , 1999, PRO-VE.

[37]  José António Crispim,et al.  Partner selection in virtual enterprises , 2010 .

[38]  Ricardo J. Rabelo,et al.  A collaborative decision support framework for managing the evolution of virtual enterprises , 2009 .

[39]  A. Braga,et al.  The influence of time-to-market and target costing in the new product development success , 2008 .

[40]  Yongming Li,et al.  Research of multi-population agent genetic algorithm for feature selection , 2009, Expert Syst. Appl..

[41]  Robin Cowan,et al.  Bilateral Collaboration and the Emergence of Innovation Networks , 2007, Manag. Sci..

[42]  Andrew Y. C. Nee,et al.  GA-BHTR: an improved genetic algorithm for partner selection in virtual manufacturing , 2012 .

[43]  Ahti Salo,et al.  Multi-Criteria Partner Selection in Virtual Organisations With Transportation Costs and Other Network Interdependencies , 2007 .