Research Article
Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History
Table 2
Performance of all algorithms on 30D test functions
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| Problem | MCPSO-PSH | NrGA | CMA-ES | PSO | DE |
| | Mean | 4.8910E − 01 | | | | | Std | 3.3890E − 01 | | | | | | Mean | 1.6851E − 14 | | | | | Std | 9.0376E − 16 | | | | | | Mean | 5.9990E − 37 | | | | | Std | 9.5490E − 41 | | | | | | Mean | 1.0099E − 16 | | | | | Std | 8.4098E − 18 | | | | | | Mean | 1.3933E − 61 | | | | | Std | 9.0809E − 75 | | | | | | Mean | 1.3343E − 14 | | | | | Std | 6.6066E − 15 | | | | | | Mean | 0 | 0 | | | | Std | 0 | 0 | | | | | Mean | −2.8743E + 01 | | | | | Std | 1.664E + 00 | | | | | | Mean | 3.3880E − 12 | | | | | Std | 7.3038E − 13 | | | | | | Mean | | 3.6421E − 04 | | | | Std | | 1.3940E − 04 | | | |
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