M. Rajabzadeh, H. Vahdani, Z. Arabasadi, Single machine scheduling with different types of transportation facilities in batch delivery system, CIE44 & IMSS14 Proceedings, 14-16 October 2014, Istanbul / Turkey, Pages:
 C. A. C. Coello, G. B. Lamont, Applications of multi-objective evolutionary algorithms, Vol.1, World Scientific,
 S. Garcia, C. T. Trinh, Comparison of multi-objective evolutionary algorithms to solve the modular cell design
problem for novel biocatalysis, Processes, 7(6) (2019) 361.
 K. Steinh¨ofel, A. Albrecht, C. K. Wong, An experimental analysis of local minima to improve neighbourhood
search, Computers & Operations Research, 30(14)(2003) 2157-2173.
 H. A. Mohammed , Exact and Heuristic Algorithms for Solving Combinatorial Optimization Problems, Ph.D.
Thesis, Mustansiriyah University, College of Science, Dept. of Mathematics 2017.
 H. A. Chachan, A. S. Hameed, Exact Methods for Solving Multi-Objective Problem on Single Machine Scheduling,
Iraqi Journal of Science, (2019) 1802-1813. .
 T. S. Abdul-Razaq, A. O. Akram, Local Search Algorithms for Multi-Criteria Single Machine Scheduling Problem, Ibn AL-Haitham Journal for Pure and Applied Science, (2018) 436-451.
 T. S. Abdul-Razaq, F. H. Ali, Algorithms for Scheduling a Single Machine to Minimize Total Completion Time
and Total Tardiness. Basrah Journal of Science, 34(A (2)) (2016) 113-132.
 T.S. Abdul-Razaq, H. M. Motair, Solving Composite Multi-objective Single Machine Scheduling Problem Using
Branch and Bound and Local Search Algorithms. Al-Mustansiriyah Journal of Science, 28(3) (2018) 200-208.
 L. P. Michael, Scheduling: theory, algorithms, and systems, Springer 2018 .
 E. L. Lawler, Optimal sequencing of a single machine subject to precedence constraints. Management science, 19(5)(1973) 544-546.
 A. A. Mahmood, Solution procedures for scheduling job families with setups and due dates, Doctoral dissertation,
M. Sc. Thesis, University of AL-Mustansiriyah, College of Science, Dept. of Mathematics 2001.
 W. E. Smith, Various optimizer for single-stage production, Naval Research Logistics Quarterly, 3(1-2) (1956)
 I. M. Alharkan, Algorithms for sequencing and scheduling, Industrial Engineering Department, King Saud University, Riyadh, Saudi Arabia 2005.
 J. R. Jackson, Scheduling a production line to minimize maximum tardiness, management science research project
1955. J. A. Hoogeveen, S. L. van deVelde, Polynomial-time algorithms for single-machine multicriteria scheduling,
Department of Operations Research, Statistics, and System Theory [BS], (R 9008) (1990).
 C. P. Tomazella, M. S. Nagano, A comprehensive review of Branch-and-Bound algorithms: Guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, 158 (2020)
 H. He, H. Daume III, J. M. Eisner, Learning to search in branch and bound algorithms. Advances in neural
information processing systems, 27(2014) 3293-3301.
 J. N. Gupta, K. Hennig, F. Werner, Local search heuristics for two-stage flow shop problems with secondary
criterion. Computers & Operations Research, 29(2) (2002) 123-149.
 X. J. Wang, C. Y. Zhang, L. Gao, P. G. Li, A survey and future trend of study on multi-objective scheduling,
In 2008 Fourth International Conference on Natural Computation (Vol. 6, pp. 382-391)(2008, October), IEEE.
 S. M. Jasim, F. H. Ali, Exact and local search methods for solving travelling salesman problem with practical
application, Iraqi Journal of Science, 60(5)(2019 ) 1138-1153. https://doi.org/10.24996/ijs.2019.60.5.22
 S. St¨oppler, C. Bierwirth, The application of a parallel genetic algorithm to the n/m/P/C max flowshop problem,
In New Directions for Operations Research in Manufacturing (pp. 161-175) (1992), Springer, Berlin, Heidelberg.