Harmony Search Algorithm for Transport Energy Demand Modeling - Music-Inspired Harmony Search Algorithm: Theory and Applications - page 167

500

Linear
Exp.
Quad.

400

300

200

100

0

1 10 100 1000 10000 100000

Number ofiterations

Fig. 3. Convergence history of the HASTEDE models

Table 2. HASTEDE model results

Type SSE HASTEDE

Linear 6.46

Exponential 5.94

Quadratic 4.34

5 Conclusions

This chapter reviewed the application of the HS optimization algorithm to the solution
of the transport energy demand modeling problem. Formulation of the HS method and
its application to this problem were provided. Three forms of the forecasting models
were developed and successfully solved with the HS procedure.

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