Improved ant colony optimization algorithms for continuous ... - CoDE
Improved ant colony optimization algorithms for continuous ... - CoDE
Improved ant colony optimization algorithms for continuous ... - CoDE
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6.1 Mathematical <strong>for</strong>mulation of engineering problems 61<br />
Figure 6.2: Schema of the pressure vessel to be designed.<br />
Table 6.3: The mathematical <strong>for</strong>mulation of the cases (A, B, C and D) of<br />
the pressure vessel design problem.<br />
No Case A Case B Case C Case D<br />
min f = 0.6224 TsRL + 1.7781 ThR 2 + 3.1611 T 2 s L + 19.84 T 2 g1<br />
s R<br />
−Ts + 0.0193 R ≤ 0<br />
g2<br />
−Th + 0.00954 R ≤ 0<br />
g3<br />
−π R 2 L − 4<br />
3 π R3 g4<br />
+ 750 · 1728 ≤ 0<br />
L − 240 ≤ 0<br />
g5 1.1 ≤ Ts ≤ 12.5 1.125 ≤ Ts ≤ 12.5 1 ≤ Ts ≤ 12.5 0 ≤ Ts ≤ 100<br />
g6 0.6 ≤ Th ≤ 12.5 0.625 ≤ Th ≤ 12.5 0 ≤ Th ≤ 100<br />
g7 0.0 ≤ R ≤ 240 10 ≤ R ≤ 200<br />
g8 0.0 ≤ L ≤ 240 10 ≤ L ≤ 200<br />
6.1.3 Pressure Vessel Design Problems<br />
The pressure vessel design problems requires designing a pressure vessel<br />
consisting of a cylindrical body and two hemispherical heads such that the<br />
cost of its manufacturing is minimized subject to certain constraints. The<br />
schematic picture of the vessel is presented in Figure 6.2. There are four<br />
variables where values must be chosen: the thickness of the main cylinder<br />
Ts, the thickness of the heads Th, the inner radius of the main cylinder<br />
R, and the length of the main cylinder L. While variables R and L are<br />
<strong>continuous</strong>, the thickness <strong>for</strong> variables Ts and Th may be chosen only from a<br />
set of allowed values, these being the integer multiples of 0.0625 inch. The<br />
mathematical <strong>for</strong>mulation <strong>for</strong> the cases (A, B, C and D) is given in Table 6.3.<br />
6.1.4 Coil Spring Design Problem<br />
The problem consists in designing a helical compression spring that will<br />
hold an axial and const<strong>ant</strong> load. The objective is to minimize the volume<br />
of the spring wire used to manufacture the spring. A schematic of the coil<br />
spring to be designed is shown in Figure 6.3. The decision variables are the<br />
number of spring coils N, the outside diameter of the spring D, and the<br />
spring wire diameter d. The number of coils N is an integer variable, the<br />
outside diameter of the spring D is a <strong>continuous</strong> variable, and finally, the<br />
spring wire diameter is a discrete variable, whose possible values are given