Research Article
An Improved Real-Coded Population-Based Extremal Optimization Method for Continuous Unconstrained Optimization Problems
Table 3
Comparative performances of IRPEO with PEO-EO, PSO, PEO, and GA [
22] for test functions.
| | Problems | Optimum | Algorithm | (rank) | (rank) | (rank) | SD (rank) | Final rank |
| | −9.66 (min) | IRPEO | −9.66 | −9.66 | −9.66 | | 1 | | PEO-EO [22] | −9.66 (1) | −9.66 (1) | −9.66 (1) | (2) | 2 | | PSO [22] | −9.66 (1) | −9.52 (5) | −9.06 (5) | 0.17 (5) | 5 | | GA [22] | −9.66 (1) | −9.62 (3) | −9.50 (3) | 0.06 (4) | 3 | | PEO [22] | −9.61 (5) | −9.55 (4) | −9.50 (3) | 0.03 (3) | 4 |
| | −12569.5 (min) | IRPEO | −12569.5 | −12569.5 | −12569.4 | | 1 | | PEO-EO [22] | −12569.5 (1) | −12568.0 (2) | −12562.6 (2) | 2.01 (2) | 2 | | PSO [22] | −9577.7 (5) | −10139.3 (4) | −11026.2 (4) | 625.7 (5) | 4 | | GA [22] | −9549.3 (4) | −8846.0 (5) | −8404.5 (5) | 481.0 (4) | 5 | | PEO [22] | −12214.2 (3) | −12083.3 (3) | −11977.3 (3) | 90.3 (3) | 3 |
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