A bibliometric analysis of Genetic Algorithms throughout the history

Abstract In this article, a bibliometric analysis of Genetic Algorithms (GA) throughout the history is conducted. A big picture of publications associated with GA is created. A number of dominant statistics of GA publications by years, research fields, document types, source titles, countries, institutions and authors are provided herein. In addition, some insights as well as future perspectives of publications associated with GA are discussed.

[1]  Ling Wang,et al.  A Modified Genetic Algorithm for Job Shop Scheduling , 2002 .

[2]  Yunfeng Wang,et al.  A genetic algorithm for cellular manufacturing design and layout , 2007, Eur. J. Oper. Res..

[3]  Minhat Ade Erawan,et al.  Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current , 2012 .

[4]  K. L. Mak,et al.  Integrated partner selection and production-distribution planning for manufacturing chains , 2015, Comput. Ind. Eng..

[5]  Yeongho Kim,et al.  A genetic alorithm for multiple objective sequencing problems in mixed model assembly lines , 1998 .

[6]  T. X. Zhong,et al.  A Hybrid-Coded Genetic Algorithm Based Optimisation of Non-Productive Paths in CNC Machining , 2002 .

[7]  Ping-Hung Tang,et al.  Adaptive directed mutation for real-coded genetic algorithms , 2013, Appl. Soft Comput..

[8]  M. Valenzuela-Rendón,et al.  Genetic algorithms and Darwinian approaches in financial applications: A survey , 2015, Expert Syst. Appl..

[9]  Bor-Wen Cheng,et al.  A study on flowshop scheduling problem combining Taguchi experimental design and genetic algorithm , 2007, Expert Syst. Appl..

[10]  Kangbae Lee,et al.  Genetic algorithms for door-assigning and sequencing of trucks at distribution centers for the improvement of operational performance , 2012, Expert Syst. Appl..

[11]  Kazem Abhary,et al.  Optimisation of partner selection and collaborative transportation scheduling in Virtual Enterprises using GA , 2014, Expert Syst. Appl..

[12]  Helman Stern,et al.  Multiagent visual area coverage using a new genetic algorithm selection scheme , 2006, Eur. J. Oper. Res..

[13]  Pei-Chann Chang,et al.  Adaptive multi-objective genetic algorithms for scheduling of drilling operation in printed circuit board industry , 2007, Appl. Soft Comput..

[14]  Junfeng Wang,et al.  A novel hybrid algorithm for assembly sequence planning combining bacterial chemotaxis with genetic algorithm , 2011 .

[15]  Yong Ming Wang,et al.  Genetic algorithm with new encoding scheme for job shop scheduling , 2009 .

[16]  Yuping Wang,et al.  A new hybrid genetic algorithm for job shop scheduling problem , 2012, Comput. Oper. Res..

[17]  Kazem Abhary,et al.  An Adaptive Restarting Genetic Algorithm for Global Optimization , 2015 .

[18]  Lee Luong,et al.  Optimization/simulation modelling of the integrated production-distribution plan: an innovative survey , 2008 .