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Population optimization algorithms: Saplings Sowing and Growing up (SSG)

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by , 05-15-2023 at 01:00 AM (377 Views)
      
   
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There are many optimization methods inspired by processes occurring in nature, such as evolutionary computation, artificial immunology, population methods and others. SSG is basically defined as iterative generation and combination processes working with a garden of potential solutions called seedlings. The Saplings Sowing and Growing (SSG) algorithm was proposed by A. Karci with co-authors in 2002. The algorithm is inspired by the evolution of growing trees and models the growth and branching of trees.
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