Research Article
Dimensional Learning Strategy-Based Grey Wolf Optimizer for Solving the Global Optimization Problem
Table 4
Parameter settings and explanations for all versions of the GWO.
| Name | Explanation | Parameters |
| GWO | | = [2,0] | RWGWO [39] | GWO with random walk | = [2,0] | learnGWO [50] | GWO with improved hierarchy | = [2,0], = 0.004715, = = 0.00647 | GWOCS [44] | GWO hybridized with cuckoo search | = [2,0] | IGWO [56] | GWO with individual memory | = [2,0], = 0.6, = 0.4, = 0.5 | SOGWO [43] | GWO with opposition-based learning | = [2,0] | MGWO [34] | GWO with modified parameter C | = [2,0] |
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