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Considering the characteristic of both multi-modal and uni-modal test functions and the obtained results, it may be concluded that SA-MFO algorithm has a high exploration capability for exploring the promising area in the search space and the capability for avoiding the local optima.
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Nevertheless, as shown in Table 6, the higher exploration capability of G-CMA-ES remains insufficient to prevent the premature convergence issue observed over the higher multimodal problems (i.e. GDM (rightarrow ) 0 and PCM (rightarrow ) 1).
For the current population, the global neighborhood exploration strategy is employed to enhance the global exploration capability.
The proposed method combines the exploration capability of DA and exploitation capability of PSO to achieve global optimal solutions.
Thus, one sub-swarm has a good exploration capability, and the other sub-swarm has a good exploitation capability.
Biogeography-based optimization (BBO) inherently lacks exploration capability that leads to slow convergence.
The DEA has a powerful global exploration capability on macrospace and uses fewer control parameters.
The performances of evolutionary algorithms (EAs), such as convergence, diversity, and exploration capability, depend on them to a large extent.
The ICSA has a powerful global exploration capability in a given feasible solution range and uses fewer running time.
With these values, the link managers have a high exploration rate in the beginning of the exploration stage and a low exploration rate at its end.
However, G-CMA-ES demonstrates more exploration capabilities over high multimodal problems (F21) than CMA-ES.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com