Research Article
Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model
Algorithm 1
The Lévy flight based whale optimization algorithm (LWOA).
| Initialize relevant parameters | | Generate a population , randomly. Calculate the fitness of each whale and get the best solution | | while () | | for each search agent | | Update , , , and | | if () | | if () | | Update the position of the current search agent by equation (12) | | else if () | | Select a random search agent | | Update the position of the current search agent by equation (15) | | end if | | else if () | | Update the position of the current search agent by equation (14) | | end if | | end for | | for each search agent | | Update the position of the current search agent using Lévy flight by equation (17) | | end for | | Check if any search agent goes beyond the search and amend it | | Calculate the fitness of each whale | | Update if there is a better solution | | | | end while | | Return |
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