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Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Shuffled shepherd optimization algorithm (SSOA) is a new multi-community algorithm inspired by shepherd behavior. SSOA is an algorithm dependent on its parameters and needs to find the right parameters for each problem to work best. In this paper, SSOA is modified to make it less dependent on parameter tuning. The new version is called parameter-reduced SSOA (PRSSOA) and requires less parameters to be tuned. The results of the SSOA and those of the PRSSOA are compared for some structural optimization design problems indicating the reliability of proposed version.
Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Shuffled shepherd optimization algorithm (SSOA) is a new multi-community algorithm inspired by shepherd behavior. SSOA is an algorithm dependent on its parameters and needs to find the right parameters for each problem to work best. In this paper, SSOA is modified to make it less dependent on parameter tuning. The new version is called parameter-reduced SSOA (PRSSOA) and requires less parameters to be tuned. The results of the SSOA and those of the PRSSOA are compared for some structural optimization design problems indicating the reliability of proposed version.
Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Iran J Sci Technol Trans Civ Eng
Kaveh, Ali (author) / Zaerreza, Ataollah (author) / Hosseini, Seyed Milad (author)
2021-09-01
15 pages
Article (Journal)
Electronic Resource
English
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