Research Article
A Particle Swarm Optimization Algorithm with Gradient Perturbation and Binary Tree Depth First Search Strategy
Table 1
The benchmark functions used in the study.
| | Name | |
| | Sphere | | | Schwefel 2.22 | | | Schwefel 1.2 | | | Schwefel 2.21 | | | Elliptic | | | Step | | | Noise | | | Hyper ellipsoid | | | Rastrigin | | | Ackley | | | Griewank | | | Schwefel | | | Shifted sphere | | | Shifted schwefel | | | Shifted rosenbrock | | | Shifted rastrigin | | | Shifted ackley | | | Shifted griewank | | | Rotated rosenbrock | | | Shifted rotated elliptic | | | Shifted rotated rastrigin | | | Shifted rotated griewank | |
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