Multipass Turning Operation Process Optimization Using Hybrid Genetic Simulated Annealing Algorithm

Table 6

Comparison of obtained results of various optimization techniques.

References	Opti. method	Cutting parameters						Unit cost ($)	Viol. const.
		Present	HSAGA	111	0.565	3	171			0.225	3	2.06	—
[25]	FPA	109.66	0.5655	3	169.97	0.2262	3	2.03	—
[24]	HGSS	499.99	0.8939	2.5	93.89	0.8836	1	2.22	Force
[23]	Chaotic PSO	123.34	0.5655	3	169.97	0.2262	3	1.95	Tool life
[22]	COA	123.34	0.5655	3	169.978	0.2262	3	1.959	Tool life
[21]	Firefly	98.4	0.82	3	162.28	0.25	3	1.93	Force
[20]	TLBO	110	0.565	3	170	0.226	3	2.28	Tool life
[18]	GA	109.663	0.566	3	169.986	0.226	3	1.12
[17]	Hybrid PSO	—	—	—	—	—	—	2.04
[16]	HDRE; AIA	—; —	—; —	—; —	—; —	—; —	—; —	2.04; 2.12
[15]	HABC	—	—	—	—	—	—	2.04
[14]	HRTLBO	—	—	—	—	—	—	2.04
[13]	DERE; ABC; DE	—; —; —	—; —; —	—; —; —	—; —; —	—; —; —	—; —; —	2.04; 2.11; 2.13
[12]	ACO	109.66	0.565	3	169.97	0.226	3	2.07	—
[11]	GA-AIS; PSO	133.28; 141.7	0.8; 0.71	2.9; 2.8	333.23; 330.74	0.8; 0.71	2.5; 2.3	1.5; 1.6	Force; Force
[10]	HPSO	109.66	0.5655	3	169.97	0.2262	3	2.03	Tool life
[9]	PSO	106.69	0.897	2	155.89	0.28	2	2.27	—
[8]	Analytic method	103.05	0.9	3	162.02	0.24	3	1.96	Force
[7]	ACO	103.05	0.9	—	162.02	0.24	—	1.62	Force
[6]	GA	—	—	—	—	—	—	2.3
[5]	GA	—	—	—	—	—	—	1.76
[4]	SA-PS	—	—	—	—	—	—	2.29