Research Article
Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization
Table 2
Comparative results of different algorithms over 30 independent runs.
| Algorithm | Sphere | Rosenbrock | Ackley | Griewank | Mean | SD | Mean | SD | Mean | SD | Mean | SD |
| PSO- | | | | | | | | | PSO-cf | | | | | | | | | PSO--local | | | | | | | | | PSO-cf-local | | | | | | | | | UPSO | | | | | | | | | FDR | | | | | | | | | FIPS | | | | | | | | | CPSO-H | | | | | | | | | CLPSO | | | | | | | | | ABC | | | | | | | | | Modified ABC | | | | | | | | | TLBO | 0.00 | 0.00 | | | | | 0.00 | 0.00 | I-TLBO (NT = 4) | 0.00 | 0.00 | | | | | 0.00 | 0.00 | CTLBO | 0.00 | 0.00 | | | | | 0.00 | 0.00 |
| Algorithm | Weierstrass | Rastrigin | NCRastrigin | Schwefel | Mean | SD | Mean | SD | Mean | SD | Mean | SD |
| PSO- | | | | | | | | | PSO-cf | | | | | | | | | PSO--local | | | | | | | | | PSO-cf-local | | | | | | | | | UPSO | | | | | | | | | FDR | | | | | | | | | FIPS | | | | | | | | | CPSO-H | | | | | | | | | CLPSO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ABC | | | | | | | | | Modified ABC | | | | | | | | | TLBO | | | | | | | | | I-TLBO (NT = 4) | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | | CTLBO | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | |
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Source. The results of algorithms other than TLBO, I-TLBO, and CTLBO are taken from [32]. The results of TLBO and I-TLBO are taken from [15].
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