Ahmadizar, F., Shahmaleki, p. (2014).Group-shop scheduling with sequence-dependent set-up and transportation times, Applied Mathematical Modelling, 38(21) 5080-5091.
Amirian, H., Sahraeian, R. (2015). Augmented ε-constraint method in multi-objective flow shop problem with past sequence set-up times and a modified learning effect. International Journal of Production Research, 53 (19), 1-15.
Azzouz, A., Ennigrou, M., & Ben Said, L. (2018). Scheduling problems under learning effects: classification and cartography, International Journal of Production Research, 56(4), 1642–1661.
Behnamian, J., Zandieh,M.(2013). Earliness and Tardiness Minimizing on a Realistic Hybrid Flowshop Scheduling with Learning Effect by Advanced Metaheuristic, Arab J Sci Eng 38, 1229–1242 .
Benttaleb, M., Hnaien, F., & Yalaoui, F. (2018). Two-machine job shop problem under availability constraints on one machine: Makespan minimization; Computers & Industrial Engineering 117, 138–151.
Bilchev, G., Parmee, I. (1995). The Ant Colony Metaphor for Searching Continuous Design Spaces. In Fogarty, T.C., and ed.: Evolutionary Computing. AISB Workshop. Springer, Sheffield, UK: 25–39.
Biskup, D. (2008). A state-of-the-art review on scheduling with learning effect, European Journal of Operational Research, 188(2), 188 – 315.
Biskup, D. (1999). Single-machine scheduling with learning considerations, European Journal of Operational Research, 115 (1), 173–178.
Colorni, Am., Dorigo, M., Maniezzo, V (1992). Distributed Optimization by Ant Colonies. EUROPEAN CONFERENCE ON ARTIFICIAL LIFE, PARIS, FRANCE, ELSEVIER PUBLISHING, 134–142.
Dehnar saidy, H., Taghvi-Fard, M. (2008). Study of Scheduling Problems with Machine Availability Constraint. Journal of Industrial and Systems Engineering Vol. 1, No. 4, pp 360-383.
Fattahi, p, Daneshamooz, F. (2017). Hybrid algorithms for job shop scheduling problem with lot streaming and a parallel assembly stage. Journal of Industrial and Systems Engineering, 10(3), 92-112.
Lei, D., (2010). Fuzzy job shop scheduling problem with availability constraints. Computers & Industrial Engineering 58, 610–617.
Lei, D., (2013). Multi-objective artificial bee colony for interval job shop scheduling with flexible maintenance, Int J Adv Manuf Technol 66, 1835–1843.
Ma, Y., Chu, C., & Zuo, C. (2010). A survey of scheduling with deterministic machine availability constraints. Computers & Industrial Engineering, 58(2), 199–211.
Mehrabian, A.R., Lucas, C. (2006). A novel Numerical Optimization Algorithm Inspired from Weed Colonization, Ecological Informatics, 1,.355- 366.
Mousavi,S.M., Mahdavi,L., Rezaeian, J., Zandieh,M. (2018). Bi-objective scheduling for the re-entrant hybrid flow shop with learning effect and setup times; Scientia Iranica E 25(4), 2233-2253.
Tamssaouet, K., Dauzère-Pérès, S., & Yugma, C. (2018). Metaheuristics for the job-shop scheduling problem with machine availability constraints; Computers & Industrial Engineering 125: 1–8.
Vahedi-Nouri, B., Fattahi, P., Tavakkoli-Moghaddam, R., and Ramezanian, R. (2014). A general flow shop scheduling problem with consideration of position-based learning effect and multiple availability constraints, International Journal of Advanced Manufacturing Technology, 73 (5) ,601–611 (2014).
Vahedi-Nouri, B., Fattahi, P., & Ramezanian, R. (2013). Hybrid firefly-simulated annealing algorithm for the flow shop problem with learning effects and flexible maintenance activities, International Journal ofProduction Research, 51(12), 3501-3515.
Velmurugan,T., Sibaram, k., Nadakumar,S., Saravanan,B. (2016). Seamless Vertical Handoff usingInvasive Weed Optimization (IWO) algorithm for heterogeneous wireless networks. Ain Shams Engineering journal, 7(1), 101-111.
Wagner, H.M. (1959). An integer linear-programming model for machine scheduling, Naval Rest Logis Q, 6 (2), 131–40.