Computational Intelligence and Neuroscience / 2016 / Article / Tab 5

Research Article

Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm

Table 5

Computational results of the EPSO and TPSO.

CriterionEPSOTPSOChangePercent change

Average solution time (seconds)418.2419.4−1.2−0.3%
Average fitness function value29,89035,490−5,600−15.8%
Best fitness function value22,40027,400−5,000−18.2%
Worst fitness function value38,20060,650−22,450−37.0%
Fitness function value variance25,266,40098,223,400−72,957,000−74.3%

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