Research Article
Cubic Spline Interpolation-Based Robot Path Planning Using a Chaotic Adaptive Particle Swarm Optimization Algorithm
Table 3
Path planning results in environment 3.
| Algorithms | Best fitness value | Mean fitness value | Worst fitness value | Average execution time | Standard deviation | Number of optimal iterations |
| CAPSO | 1414.43 | 1429.83 | 1416.24 | 15.1812 | 0.9064 | 46 | DEPSO | 1695.77 | 1731.87 | 1697.76 | 41.0869 | 0.9968 | 73 | FAPSO | 1726.20 | 1823.28 | 1728.99 | 19.0295 | 1.3953 | 35 | SPSO | 1722.87 | 1802.55 | 1725.90 | 16.9308 | 1.5131 | 45 | IWPSO | 1814.76 | 1888.91 | 1816.82 | 26.6719 | 1.0275 | 74 | MPSO | 1610.44 | 1710.44 | 1613.83 | 19.4110 | 1.7239 | 80 |
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