TLBO and JAYA: Insights into Novel …
245
7. Rao R, Patel V (2012) An elitist teaching-learning-based optimization algorithm for solving
complex constrained optimization problems. Int J Ind Eng Comput 3(4):535–560
8. Rao RV, More KC (2017) Design optimization and analysis of selected thermal devices using
self-adaptive Jaya algorithm. Energ Convers Manage 140:24–35
9. Venkata Rao R, Rai DP (2017) Optimisation of welding processes using quasi-oppositionalbased Jaya algorithm. J Exp Theor Artif 29(5):1099–1117
10. Venkata Rao R, Saroj A (2017) A self-adaptive multi-population-based Jaya algorithm for
engineering optimization. Swarm. Evol Comput 37:1–26
11. Shivraj Y, Ramesh Nunna N, Banoth BN, Alluru R (2015) Realization of surface morphology
and process parameter optimization in MicroEDM hole drilling of maraging steel 300
alloy. In: ASME 2015 international mechanical engineering congress and exposition, pp
V02AT02A044–V02AT02A044
12. Lin Wenwen DY, Yu SW, Zhang C, Zhang S, Tian H, Luo M, Liu S (2015) Multi-objective
teaching–learning-based optimization algorithm for reducing carbon emissions and operation
time in turning operations. Eng Optimiz 47(7):994–1007
13. Venkata Rao R, Rai DP, Balic J (2018) Multi-objective optimization of machining and micromachining processes using non-dominated sorting teaching–learning-based optimization
algorithm. J Intell Manuf 29(8):1715–1737
14. Rao RV, More KC, Taler J Ocło´ n P (2017) Multi-objective optimization of thermoacoustic devices using teaching-learning-based optimization algorithm. Sci Technol Built En
23(8):1244–1252
15. Shahbeig S, Helfroush MS, Rahideh A (2017) A fuzzy multi-objective hybrid Tlbo-Pso
approach to select the associated genes with breast cancer. Sig Process 131:58–65
16. Venkata Rao K (2019) Power consumption optimization strategy in micro ball-end milling of
D2 steel via TLBO coupled with 3D FEM simulation. Measurement 132:68–78
17. Venkata Rao R, Rai DP (2016) Optimization of fused deposition modeling process using
teaching-learning-based optimization algorithm. Int J Eng Sci Technol 19(1):587–603
18. Sahu S, Barisal AK, Kaudi A (2017) Multi-objective optimal power flow with DG placement
using TLBO and MIPSO: a comparative study. Enrgy Proced 117:236–243
19. Sahu NK, Andhare AB (2019) Multiobjective optimization for improving machinability of
Ti-6Al-4 V using RSM and advanced algorithms. J Comput Des Eng 6(1):1–12
20. Li D, Zhang C, Shao X, Lin W (2016) A multi-objective TLBO algorithm for balancing
two-sided assembly line with multiple constraints. J Intell Manuf 27(4):725–739
21. Patel V, Savsani V (2016) Multi-objective optimization of a stirling heat engine using TS-TLBO
(tutorial training and self-learning inspired teaching-learning based optimization) algorithm.
Energy 95:528–541
22. Maputi ES, Arora R (2016) Multi-objective spur gear design using teaching learning-based
optimization and decision-making techniques. Cogent Eng 1665396
23. Rao Ravipudi V, Saroj A, Oclon P, Taler J, Lakshmi J (2018) A posteriori multi objective
self-adaptive multi population Jaya algorithm for optimization of thermal devices and cycles.
IEEE Access 7:4113–4134
24. Rao R, Rai DP, Ramkumar J, Balic J (2016) A new multi-objective Jaya algorithm for
optimization of modern machining processes. Adv Prod Eng Manage 11(4):271
25. Rao RV, Saroj A (2018) Multi-objective design optimization of heat exchangers using elitistJaya algorithm. Energ Syst 9(2):305–341
26. Rao RV, Rai DP, Balic J (2018) Optimization of abrasive waterjet machining process using
multi-objective jaya algorithm. Mater Today-Proc 5(2):4930–4938
27. Warid W, Hizam H, Mariun N, Wahab NIA (2018) A novel quasi-oppositional modified Jaya
algorithm for multi-objective optimal power flow solution. Appl Soft Comput 65:360–373
28. Rao RV, Rai DP, Balic J (2019) Multi-objective optimization of abrasive waterjet machining
process using Jaya algorithm and PROMETHEE Method. J Intell Manuf 30(5):2101–2127
245
7. Rao R, Patel V (2012) An elitist teaching-learning-based optimization algorithm for solving
complex constrained optimization problems. Int J Ind Eng Comput 3(4):535–560
8. Rao RV, More KC (2017) Design optimization and analysis of selected thermal devices using
self-adaptive Jaya algorithm. Energ Convers Manage 140:24–35
9. Venkata Rao R, Rai DP (2017) Optimisation of welding processes using quasi-oppositionalbased Jaya algorithm. J Exp Theor Artif 29(5):1099–1117
10. Venkata Rao R, Saroj A (2017) A self-adaptive multi-population-based Jaya algorithm for
engineering optimization. Swarm. Evol Comput 37:1–26
11. Shivraj Y, Ramesh Nunna N, Banoth BN, Alluru R (2015) Realization of surface morphology
and process parameter optimization in MicroEDM hole drilling of maraging steel 300
alloy. In: ASME 2015 international mechanical engineering congress and exposition, pp
V02AT02A044–V02AT02A044
12. Lin Wenwen DY, Yu SW, Zhang C, Zhang S, Tian H, Luo M, Liu S (2015) Multi-objective
teaching–learning-based optimization algorithm for reducing carbon emissions and operation
time in turning operations. Eng Optimiz 47(7):994–1007
13. Venkata Rao R, Rai DP, Balic J (2018) Multi-objective optimization of machining and micromachining processes using non-dominated sorting teaching–learning-based optimization
algorithm. J Intell Manuf 29(8):1715–1737
14. Rao RV, More KC, Taler J Ocło´ n P (2017) Multi-objective optimization of thermoacoustic devices using teaching-learning-based optimization algorithm. Sci Technol Built En
23(8):1244–1252
15. Shahbeig S, Helfroush MS, Rahideh A (2017) A fuzzy multi-objective hybrid Tlbo-Pso
approach to select the associated genes with breast cancer. Sig Process 131:58–65
16. Venkata Rao K (2019) Power consumption optimization strategy in micro ball-end milling of
D2 steel via TLBO coupled with 3D FEM simulation. Measurement 132:68–78
17. Venkata Rao R, Rai DP (2016) Optimization of fused deposition modeling process using
teaching-learning-based optimization algorithm. Int J Eng Sci Technol 19(1):587–603
18. Sahu S, Barisal AK, Kaudi A (2017) Multi-objective optimal power flow with DG placement
using TLBO and MIPSO: a comparative study. Enrgy Proced 117:236–243
19. Sahu NK, Andhare AB (2019) Multiobjective optimization for improving machinability of
Ti-6Al-4 V using RSM and advanced algorithms. J Comput Des Eng 6(1):1–12
20. Li D, Zhang C, Shao X, Lin W (2016) A multi-objective TLBO algorithm for balancing
two-sided assembly line with multiple constraints. J Intell Manuf 27(4):725–739
21. Patel V, Savsani V (2016) Multi-objective optimization of a stirling heat engine using TS-TLBO
(tutorial training and self-learning inspired teaching-learning based optimization) algorithm.
Energy 95:528–541
22. Maputi ES, Arora R (2016) Multi-objective spur gear design using teaching learning-based
optimization and decision-making techniques. Cogent Eng 1665396
23. Rao Ravipudi V, Saroj A, Oclon P, Taler J, Lakshmi J (2018) A posteriori multi objective
self-adaptive multi population Jaya algorithm for optimization of thermal devices and cycles.
IEEE Access 7:4113–4134
24. Rao R, Rai DP, Ramkumar J, Balic J (2016) A new multi-objective Jaya algorithm for
optimization of modern machining processes. Adv Prod Eng Manage 11(4):271
25. Rao RV, Saroj A (2018) Multi-objective design optimization of heat exchangers using elitistJaya algorithm. Energ Syst 9(2):305–341
26. Rao RV, Rai DP, Balic J (2018) Optimization of abrasive waterjet machining process using
multi-objective jaya algorithm. Mater Today-Proc 5(2):4930–4938
27. Warid W, Hizam H, Mariun N, Wahab NIA (2018) A novel quasi-oppositional modified Jaya
algorithm for multi-objective optimal power flow solution. Appl Soft Comput 65:360–373
28. Rao RV, Rai DP, Balic J (2019) Multi-objective optimization of abrasive waterjet machining
process using Jaya algorithm and PROMETHEE Method. J Intell Manuf 30(5):2101–2127