Table 2
Performance (Average Best Fitness) Comparison for DPGA, CGA, Differential Evolution and PSO. rs =number of candidate solution resampling.
Source publication
Presence of uncertainty in the search environment of Evolutionary algorithms (EA) interferes with the evaluation and the selection process of EA and adversely affects the performance of the algorithm. Presence of noise also means fitness function can not be evaluated and it has to be estimated instead. Of the various approaches which been tried to...
Contexts in source publication
Context 1
... before, the experiments were run for a fixed number of iterations. Table 2 presents the final results obtained for the chosen benchmark functions (both noisy and non-noisy versions) with the first set of experiments. The results for the non-noisy versions of the functions have been reported here mainly as 'standards' to judge the impact of noise. ...
Context 2
... surprisingly all the heuristics have performed considerably better on the non-noisy benchmark functions compared to the noisy versions of the same functions. As can be observed from the results (Table 2), while the proposed method has performed better for majority of the test cases, the difference is not necessarily significant in all cases of the low dimensional Sphere function. ...
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