Plotting in MATLAB

MATLAB s plotting capabilities are such that professional quality graphs can be generated. The commands for producing graphs vary from the very simple to the quite complex. In this coverage, only relatively simple plot commands are discussed, but more complete discussions are readily available. 

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A surface response fitting of second-order polynomial fimction with = 0.71 was plotted in MATLAB to fiuther explore the coupling effects of T. Thus, the thermal conductivity for the GSA-SDS/FMWNT composites can be expressed as cn =f T(, Tc, Aabuik( i , Tm), Agd) and can be evaluated as shown in Eq. 6.14. The fuU polynomial equation for (Tf Tc) is given in Appendix 6B. 

The PSO algorithm was used in MATLAB platform. The experiments were carried out with presently taking one supplier and one customer, i.e. i = 1 and j = 1. The input of variable cost per unit (C,y), transportation cost per unit (t,y), inventory holding cost per unit (hy) and penalty cost (Sg) was taken from a case study (Teimoury et al. 2010). The number of iterations made was 30. Once the values are entered for different products, the minimum cost was calculated by PSO algorithm in MATLAB and the graph for each product was plotted in MATLAB. 

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