Comparison of a Fuzzy Genetic and Simulated Annealing Algorithm Approach for Project Time-Cost Tradeoff

Table 3

Solutions of the Zimmermann’s approach and flexible fuzzification model for threshold 𝛼=0.98.

Variable	A	B	C	Variable	A	B	C	Variable	A	B	C
𝑍=	934	760.25	754.03
𝑀		0.95	0.98
Δ𝑡12	0.00	0.00	0.00	Δ𝑡1112	0.00	0.00	0.02	𝑡7	330	328.97	328.97
Δ𝑡13	0.00	0.00	0.00	Δ𝑡1114	0.00	0.00	0.01	𝑡8	690	688.60	688.30
Δ𝑡24	0.00	0.00	0.10	Δ𝑡1113	0.00	0.00	0.04	𝑡9	790	788.74	788.74
Δ𝑡34	0.00	0.23	0.23	Δ𝑡1415	20.00	16.13	1.76	𝑡10	790	768.40	769.40
Δ𝑡45	0.00	0.00	0.00	Δ𝑡911	0.00	0.23	0.24	𝑡11	790	788.51	788.51
Δ𝑡46	0.00	0.00	0.00	Δ𝑡1011	0.00	0.23	0.40	𝑡12	910	908.37	908.37
Δ𝑡47	0.00	0.23	0.03	Δ𝑡1214	0.00	0.23	0.10	𝑡13	910	908.37	908.37
Δ𝑡48	0.00	0.00	0.00	Δ𝑡1314	0.00	0.23	0.50	𝑡14	910	908.14	918.14
Δ𝑡58	0.00	0.00	0.00	𝑡1	0.00	0.00	0.00	𝑡15	1010	1011.87	1041.87
Δ𝑡68	0.00	0.00	0.01	𝑡2	90.00	89.77	90.77
Δ𝑡78	0.00	0.00	0.00	𝑡3	150.00	29.53	29.53
Δ𝑡89	0.00	0.00	0.00	𝑡4	210.00	209.30	209.30
Δ𝑡811	0.00	0.00	0.02	𝑡5	330.00	329.07	329.07
Δ𝑡810	0.00	0.00	0.02	𝑡6	570.00	568.83	568.83