Research Article
An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems
Table 6
Results obtained by optimization methods (case II).
| Methods | Best cost ($/h) | Worst cost ($/h) | Mean cost ($/h) | FEs | CPU time (s) |
| NAPSO [15] | 121491.0662 | 121491.5261 | 121491.2756 | 100,000 | / | FAPSO [15] | 122261.3706 | 122597.5196 | 122471.0751 | 100,000 | / | PSO [15] | 124875.8523 | 125368.9204 | 125162.7011 | 100,000 | / | IABC [16] | 121491.2751 | 121582.3865 | 121539.4175 | 100,000 | / | IABC-LS [16] | 121488.7636 | 121582.2525 | 121526.0333 | 100,000 | / | QPSO [39] | 126615.4498 | 128679.5909 | 128621.1241 | 20,000 | / | QPSO-DM(1) [39] | 131291.9433 | 131586.1562 | 131368.4071 | 20,000 | / | QPSO-DM(2) [39] | 131318.4412 | 133393.5961 | 131739.5250 | 20,000 | / | QPSO-EDP(1) | 121681.46 | 121708.01 | 121693.42 | 20,000 | 5.38 | QPSO-EDP(2) | 121875.23 | 121907.26 | 121895.49 | 20,000 | 7.96 | DEB-QPSO | 121472.77 | 121483.67 | 121477.52 | 20,000 | 6.15 |
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