[1] Barney J.B., Clark D.N., Resource-Based Theory: Creating and SustainingCompetitive Advantage, Oxford University Press, New York 2007, 18.Search in Google Scholar

[2] Beksiak J., Economics (Ekonomia), PWN, Warsaw 2001, 112.Search in Google Scholar

[3] Błażewicz, J., Domschke, W., Pesch, E., The job shop scheduling problem: Conventional and new solution techniques. European Journal of OperationalResearch, 93, 1996, 1-30.10.1016/0377-2217(95)00362-2Search in Google Scholar

[4] Eiben A.E., Smith J.E., Introduction to Evolutionary Computing, Natural ComputingSeries, Springer, Berlin 2008.Search in Google Scholar

[5] Gao J., Gen M., Sun L. A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem, GECCO '06: Proceedings of the 8th annualconference on Genetic and evolutionary computation, ACM 2006, 1158.Search in Google Scholar

[6] Goldberg D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Dorling Kindersley Pvt Ltd, New Delhi 2008, 17.Search in Google Scholar

[7] Grimes D., Hebrard E., Model and strategies for variants of the job shop scheduling problem, CP'11: Proceedings of the 17th international conference on Principles andpractice of constraint programming, Springer-Verlag, Berlin 2011.10.1007/978-3-642-23786-7_28Search in Google Scholar

[8] Gromicho J.A.S., van Hoorn J.J., Saldanha da Gamma F., Timmer G.T., Solving the job shop scheduling problem optimally by dynamic programming, Computers &Operations Research; 39, 12, 2012, 2968-2977, DOI: 10.1016/j.cor.2012.02.02410.1016/j.cor.2012.02.024Search in Google Scholar

[9] Manolas D.A., Gialamas T., Tsahalis D.T. A genetic algorithm for the simultaneous optimization of the sensor and actuator positions for an active noise and/or vibration control system, Inter-Noise, 96, 1996, 1187-1191.Search in Google Scholar

[10] Pająk E., Production Management (Zarządzanie produkcją), PWN, Warsaw 2006, 28, 202-232.Search in Google Scholar

[11] Qing-dao-er-ji R., Yuping W., A new hybrid genetic algorithm for job shop scheduling problem, Computers & Operations Research, 39, 10, 2011 DOI: 10.1016/j.cor.2011. in Google Scholar

[12] Rutkowski L., Methods and Techniques of Artifical Intelligence (Metody i technikisztucznej inteligencji), PWN Warsaw 2005, 233.Search in Google Scholar

[13] Sikora W., Operations Research (Badania operacyjne), PWE, Warsaw 2008, 212.Search in Google Scholar

[14] Waters D., Operations Management. Producing Goods and Services, Pearson Education Limited, Essex 2002, 220.Search in Google Scholar

[15] Zhenyuan J., Xiaohong L., Jiangyuan Y., Defeng J., Research on job-shop scheduling problem based on genetic algorithm, International Journal of Production Research 49, 12, 2011 DOI: 10.1080/00207543.2010.481293. 10.1080/00207543.2010.481293Search in Google Scholar

Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Software Development