An Intelligent Decision Support System for Workforce Forecast
作者： Hung-da Wan , Fengshan F. Chen , Glenn W. Kuriger
DOI: 10.21236/ADA537920
关键词:
摘要: Abstract : The main objective of this project is to enhance the effectiveness workforce forecast and deployment through innovative approaches artificial intelligence. research included a final document conventional methods forecasting decision support software program incorporating advanced intelligence techniques for forecasting.
researchgate.net 
sci-hub.st 参考文章(37)
J. J. Hopfield, D. W. Tank, Collective Computation With Continuous Variables NATO ASI series. Series F : computer and system sciences. ,vol. 20, pp. 155- 170 ,(1986) , 10.1007/978-3-642-82657-3_16
D Quagliarella, Genetic algorithms and evolution strategy in engineering and computer science : recent advances and industrial applications Wiley. ,(1998)
Timothy J. Ross, Fuzzy Logic with Engineering Applications ,(1994)
Duc Pham, Dervis Karaboga, None, Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks ,(2011)
Stephen F. Smith, Gary A. Cleveland, Using genetic algorithms to schedule flow shop releases international conference on genetic algorithms. pp. 160- 169 ,(1989)
Takanori Shibata, Lofti A. Zadeh, Elie Sanchez, Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives ,(1997)
Jerne Nk, Towards a network theory of the immune system. Annales De L'institut Pasteur. Immunologie. ,vol. 125, pp. 373- 389 ,(1974)
M. Birattari, T. Stutzle, M. Dorigo, Ant Colony Optimization ,(2004)
Michael P. Fourman, Compaction of Symbolic Layout Using Genetic Algorithms international conference on genetic algorithms. pp. 141- 153 ,(1985)
Lawrence Davis, Applying adaptive algorithms to epistatic domains international joint conference on artificial intelligence. pp. 162- 164 ,(1985)